{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using backend: pytorch\n"
     ]
    }
   ],
   "source": [
    "import dgl.nn as dglnn\n",
    "from dgl import from_networkx\n",
    "import torch.nn as nn\n",
    "import torch as th\n",
    "import torch.nn.functional as F\n",
    "import dgl.function as fn\n",
    "from dgl.data.utils import load_graphs\n",
    "import networkx as nx\n",
    "import pandas as pd\n",
    "import socket\n",
    "import struct\n",
    "import random\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/IPython/core/interactiveshell.py:3062: DtypeWarning: Columns (7,9) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('./bot.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns=['subcategory','pkSeqID','stime','flgs','category','state','proto','seq'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.rename(columns={\"attack\": \"label\"},inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    3668045\n",
       "0        477\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.label.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "attack = data[data['label'] == 1].sample(frac=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "normal = data[data['label'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([normal,attack])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    366804\n",
       "0       477\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.label.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#le = LabelEncoder()\n",
    "#le.fit_transform(data.label.values)\n",
    "#data['label'] = le.transform(data['label'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['saddr'] = data.saddr.apply(str)\n",
    "data['sport'] = data.sport.apply(str)\n",
    "data['daddr'] = data.daddr.apply(str)\n",
    "data['dport'] = data.dport.apply(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['saddr'] = data.saddr.apply(lambda x: socket.inet_ntoa(struct.pack('>I', random.randint(0xac100001, 0xac1f0001))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['saddr'] = data['saddr'] + ':' + data['sport']\n",
    "data['daddr'] = data['daddr'] + ':' + data['dport']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns=['sport','dport'],inplace=True)\n",
    "label_ground_truth = data[[\"saddr\", \"daddr\",\"label\"]]\n",
    "data = pd.get_dummies(data, columns = ['flgs_number','state_number', 'proto_number'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.reset_index()\n",
    "data.replace([np.inf, -np.inf], np.nan,inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.fillna(0,inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_ground_truth = data[[\"saddr\", \"daddr\",\"label\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns=['index'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>saddr</th>\n",
       "      <th>daddr</th>\n",
       "      <th>pkts</th>\n",
       "      <th>bytes</th>\n",
       "      <th>ltime</th>\n",
       "      <th>dur</th>\n",
       "      <th>mean</th>\n",
       "      <th>stddev</th>\n",
       "      <th>sum</th>\n",
       "      <th>min</th>\n",
       "      <th>...</th>\n",
       "      <th>state_number_7</th>\n",
       "      <th>state_number_8</th>\n",
       "      <th>state_number_9</th>\n",
       "      <th>state_number_10</th>\n",
       "      <th>state_number_11</th>\n",
       "      <th>proto_number_1</th>\n",
       "      <th>proto_number_2</th>\n",
       "      <th>proto_number_3</th>\n",
       "      <th>proto_number_4</th>\n",
       "      <th>proto_number_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>172.21.112.246:-1</td>\n",
       "      <td>192.168.100.3:-1</td>\n",
       "      <td>4</td>\n",
       "      <td>240</td>\n",
       "      <td>1.526345e+09</td>\n",
       "      <td>1195.996582</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>172.20.226.196:139</td>\n",
       "      <td>192.168.100.4:36390</td>\n",
       "      <td>10</td>\n",
       "      <td>680</td>\n",
       "      <td>1.526346e+09</td>\n",
       "      <td>1453.945923</td>\n",
       "      <td>0.000028</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>172.17.93.215:51838</td>\n",
       "      <td>27.124.125.250:123</td>\n",
       "      <td>2</td>\n",
       "      <td>180</td>\n",
       "      <td>1.526344e+09</td>\n",
       "      <td>0.048565</td>\n",
       "      <td>0.048565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048565</td>\n",
       "      <td>0.048565</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>172.27.190.73:-1</td>\n",
       "      <td>192.168.100.7:-1</td>\n",
       "      <td>10</td>\n",
       "      <td>510</td>\n",
       "      <td>1.526346e+09</td>\n",
       "      <td>1454.080322</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>0.000199</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172.27.129.203:58999</td>\n",
       "      <td>192.168.100.1:53</td>\n",
       "      <td>4</td>\n",
       "      <td>630</td>\n",
       "      <td>1.526345e+09</td>\n",
       "      <td>569.933960</td>\n",
       "      <td>0.098505</td>\n",
       "      <td>0.080150</td>\n",
       "      <td>0.197011</td>\n",
       "      <td>0.018356</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367276</th>\n",
       "      <td>172.28.48.178:49132</td>\n",
       "      <td>192.168.100.6:80</td>\n",
       "      <td>7</td>\n",
       "      <td>890</td>\n",
       "      <td>1.528081e+09</td>\n",
       "      <td>24.177849</td>\n",
       "      <td>0.008363</td>\n",
       "      <td>0.010483</td>\n",
       "      <td>0.041813</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367277</th>\n",
       "      <td>172.17.196.135:26823</td>\n",
       "      <td>192.168.100.3:80</td>\n",
       "      <td>3</td>\n",
       "      <td>274</td>\n",
       "      <td>1.528081e+09</td>\n",
       "      <td>0.175381</td>\n",
       "      <td>0.175381</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.175381</td>\n",
       "      <td>0.175381</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367278</th>\n",
       "      <td>172.22.162.170:38759</td>\n",
       "      <td>192.168.100.3:49160</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>1.526345e+09</td>\n",
       "      <td>0.000069</td>\n",
       "      <td>0.000069</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000069</td>\n",
       "      <td>0.000069</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367279</th>\n",
       "      <td>172.17.58.164:5345</td>\n",
       "      <td>192.168.100.3:80</td>\n",
       "      <td>16</td>\n",
       "      <td>960</td>\n",
       "      <td>1.528085e+09</td>\n",
       "      <td>32.101551</td>\n",
       "      <td>3.061918</td>\n",
       "      <td>1.754231</td>\n",
       "      <td>18.371506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367280</th>\n",
       "      <td>172.21.193.14:50596</td>\n",
       "      <td>192.168.100.6:80</td>\n",
       "      <td>6</td>\n",
       "      <td>830</td>\n",
       "      <td>1.528081e+09</td>\n",
       "      <td>24.154337</td>\n",
       "      <td>0.002583</td>\n",
       "      <td>0.005166</td>\n",
       "      <td>0.012914</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>367281 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       saddr                daddr  pkts  bytes         ltime  \\\n",
       "0          172.21.112.246:-1     192.168.100.3:-1     4    240  1.526345e+09   \n",
       "1         172.20.226.196:139  192.168.100.4:36390    10    680  1.526346e+09   \n",
       "2        172.17.93.215:51838   27.124.125.250:123     2    180  1.526344e+09   \n",
       "3           172.27.190.73:-1     192.168.100.7:-1    10    510  1.526346e+09   \n",
       "4       172.27.129.203:58999     192.168.100.1:53     4    630  1.526345e+09   \n",
       "...                      ...                  ...   ...    ...           ...   \n",
       "367276   172.28.48.178:49132     192.168.100.6:80     7    890  1.528081e+09   \n",
       "367277  172.17.196.135:26823     192.168.100.3:80     3    274  1.528081e+09   \n",
       "367278  172.22.162.170:38759  192.168.100.3:49160     1     60  1.526345e+09   \n",
       "367279    172.17.58.164:5345     192.168.100.3:80    16    960  1.528085e+09   \n",
       "367280   172.21.193.14:50596     192.168.100.6:80     6    830  1.528081e+09   \n",
       "\n",
       "                dur      mean    stddev        sum       min  ...  \\\n",
       "0       1195.996582  0.000006  0.000002   0.000011  0.000004  ...   \n",
       "1       1453.945923  0.000028  0.000008   0.000138  0.000022  ...   \n",
       "2          0.048565  0.048565  0.000000   0.048565  0.048565  ...   \n",
       "3       1454.080322  0.000238  0.000022   0.001189  0.000199  ...   \n",
       "4        569.933960  0.098505  0.080150   0.197011  0.018356  ...   \n",
       "...             ...       ...       ...        ...       ...  ...   \n",
       "367276    24.177849  0.008363  0.010483   0.041813  0.000000  ...   \n",
       "367277     0.175381  0.175381  0.000000   0.175381  0.175381  ...   \n",
       "367278     0.000069  0.000069  0.000000   0.000069  0.000069  ...   \n",
       "367279    32.101551  3.061918  1.754231  18.371506  0.000000  ...   \n",
       "367280    24.154337  0.002583  0.005166   0.012914  0.000000  ...   \n",
       "\n",
       "        state_number_7  state_number_8  state_number_9  state_number_10  \\\n",
       "0                    0               0               0                0   \n",
       "1                    0               0               0                0   \n",
       "2                    0               0               0                0   \n",
       "3                    0               0               0                0   \n",
       "4                    0               0               0                0   \n",
       "...                ...             ...             ...              ...   \n",
       "367276               0               0               0                0   \n",
       "367277               0               0               0                0   \n",
       "367278               0               0               0                0   \n",
       "367279               0               0               0                0   \n",
       "367280               0               0               0                0   \n",
       "\n",
       "        state_number_11  proto_number_1  proto_number_2  proto_number_3  \\\n",
       "0                     0               0               1               0   \n",
       "1                     0               1               0               0   \n",
       "2                     0               0               0               1   \n",
       "3                     0               0               1               0   \n",
       "4                     0               0               0               1   \n",
       "...                 ...             ...             ...             ...   \n",
       "367276                0               1               0               0   \n",
       "367277                0               1               0               0   \n",
       "367278                0               0               0               1   \n",
       "367279                0               0               0               1   \n",
       "367280                0               1               0               0   \n",
       "\n",
       "        proto_number_4  proto_number_5  \n",
       "0                    0               0  \n",
       "1                    0               0  \n",
       "2                    0               0  \n",
       "3                    0               0  \n",
       "4                    0               0  \n",
       "...                ...             ...  \n",
       "367276               0               0  \n",
       "367277               0               0  \n",
       "367278               0               0  \n",
       "367279               0               0  \n",
       "367280               0               0  \n",
       "\n",
       "[367281 rows x 56 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "cols_to_norm = list(set(list(data.iloc[:, 2:].columns ))  - set(list(['label'])) )\n",
    "data[cols_to_norm] = scaler.fit_transform(data[cols_to_norm])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "     data, label_ground_truth, test_size=0.3, random_state=42, stratify=label_ground_truth.label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-22-841b8327893c>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  X_train['h'] = X_train[ cols_to_norm ].values.tolist()\n"
     ]
    }
   ],
   "source": [
    "X_train['h'] = X_train[ cols_to_norm ].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from dgl.data.utils import load_graphs   \n",
    "#G = load_graphs(\"./data.bin\")[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = nx.from_pandas_edgelist(X_train, \"saddr\", \"daddr\", ['h','label'], create_using= nx.MultiGraph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = G.to_directed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = from_networkx(G,edge_attrs=['h','label'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from dgl.data.utils import save_graphs\n",
    "#save_graphs(\"./data.bin\", [G])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.ndata['h'] = th.ones(G.num_nodes(), G.edata['h'].shape[1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.edata['train_mask'] = th.ones(len(G.edata['h']), dtype= th.bool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#G = load_graphs(\"./bot_train_G.bin\") [0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.ndata['h'] = th.ones(G.num_nodes(), G.edata['h'].shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.edata['train_mask'] = th.ones(len(G.edata['h']), dtype=th.bool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.ndata['h'] = th.reshape(G.ndata['h'], (G.ndata['h'].shape[0], 1, G.ndata['h'].shape[1]))\n",
    "G.edata['h'] = th.reshape(G.edata['h'], (G.edata['h'].shape[0], 1, G.edata['h'].shape[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MLPPredictor(nn.Module):\n",
    "    def __init__(self, in_features, out_classes):\n",
    "        super().__init__()\n",
    "        self.W = nn.Linear(in_features * 2, out_classes)\n",
    "\n",
    "    def apply_edges(self, edges):\n",
    "        h_u = edges.src['h']\n",
    "        h_v = edges.dst['h']\n",
    "        global score\n",
    "        global emb\n",
    "        emb = th.cat([h_u, h_v], 1)\n",
    "        score = self.W(th.cat([h_u, h_v], 1))\n",
    "        return {'score': score}\n",
    "\n",
    "    def forward(self, graph, h):\n",
    "        with graph.local_scope():\n",
    "            graph.ndata['h'] = h\n",
    "            graph.apply_edges(self.apply_edges)\n",
    "            return graph.edata['score']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([261121, 1, 53])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.ndata['h'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_accuracy(pred, labels):\n",
    "    return (pred.argmax(1) == labels).float().mean().item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "class SAGELayer(nn.Module):\n",
    "    def __init__(self, ndim_in, edims, ndim_out, activation):\n",
    "        super(SAGELayer, self).__init__()\n",
    "        ### force to outut fix dimensions\n",
    "        self.W_msg = nn.Linear(ndim_in + edims, ndim_out)\n",
    "        ### apply weight\n",
    "        self.W_apply = nn.Linear(ndim_in + ndim_out, ndim_out)\n",
    "        self.activation = activation\n",
    "\n",
    "    def message_func(self, edges):\n",
    "        return {'m': self.W_msg(th.cat([edges.src['h'], edges.data['h']], 2))}\n",
    "\n",
    "    def forward(self, g_dgl, nfeats, efeats):\n",
    "        with g_dgl.local_scope():\n",
    "            g = g_dgl\n",
    "            g.ndata['h'] = nfeats\n",
    "            g.edata['h'] = efeats\n",
    "            # Eq4\n",
    "            g.update_all(self.message_func, fn.mean('m', 'h_neigh'))\n",
    "            # Eq5          \n",
    "            g.ndata['h'] = F.relu(self.W_apply(th.cat([g.ndata['h'], g.ndata['h_neigh']], 2)))\n",
    "            return g.ndata['h']\n",
    "\n",
    "\n",
    "class SAGE(nn.Module):\n",
    "    def __init__(self, ndim_in, ndim_out, edim, activation, dropout):\n",
    "        super(SAGE, self).__init__()\n",
    "        self.layers = nn.ModuleList()\n",
    "        self.layers.append(SAGELayer(ndim_in, edim, 128, activation))\n",
    "        self.layers.append(SAGELayer(128, edim, ndim_out, activation))\n",
    "        self.dropout = nn.Dropout(p=dropout)\n",
    "\n",
    "    def forward(self, g, nfeats, efeats):\n",
    "        for i, layer in enumerate(self.layers):\n",
    "            if i != 0:\n",
    "                nfeats = self.dropout(nfeats)\n",
    "            nfeats = layer(g, nfeats, efeats)\n",
    "        return nfeats.sum(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model(nn.Module):\n",
    "    def __init__(self, ndim_in, ndim_out, edim, activation, dropout):\n",
    "        super().__init__()\n",
    "        self.gnn = SAGE(ndim_in, ndim_out, edim, activation, dropout)\n",
    "        self.pred = MLPPredictor(ndim_out, 2)\n",
    "    def forward(self, g, nfeats, efeats):\n",
    "        h = self.gnn(g, nfeats, efeats)\n",
    "        return self.pred(g, h)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/.local/lib/python3.8/site-packages/sklearn/utils/validation.py:70: FutureWarning: Pass classes=[0 1], y=[1 1 1 ... 1 1 1] as keyword args. From version 1.0 (renaming of 0.25) passing these as positional arguments will result in an error\n",
      "  warnings.warn(f\"Pass {args_msg} as keyword args. From version \"\n"
     ]
    }
   ],
   "source": [
    "from sklearn.utils import class_weight\n",
    "class_weights = class_weight.compute_class_weight('balanced',\n",
    "                                                 np.unique(G.edata['label'].cpu().numpy()),\n",
    "                                                 G.edata['label'].cpu().numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_weights = th.FloatTensor(class_weights).cuda()\n",
    "criterion = nn.CrossEntropyLoss(weight = class_weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = G.to('cuda:0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cuda', index=0)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cuda', index=0)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.ndata['h'].device  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cuda', index=0)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.edata['h'].device  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 100  Training acc: 0.9999358654022217\n",
      "Epoch: 200  Training acc: 0.9999417066574097\n",
      "Epoch: 300  Training acc: 0.9999533295631409\n",
      "Epoch: 400  Training acc: 0.9999552965164185\n",
      "Epoch: 500  Training acc: 0.9999552965164185\n",
      "Epoch: 600  Training acc: 0.9999611377716064\n"
     ]
    }
   ],
   "source": [
    "node_features = G.ndata['h']\n",
    "edge_features = G.edata['h']\n",
    "\n",
    "edge_label = G.edata['label']\n",
    "train_mask = G.edata['train_mask']\n",
    "\n",
    "model = Model(G.ndata['h'].shape[2], 128, G.ndata['h'].shape[2], F.relu, 0.2).cuda()\n",
    "\n",
    "opt = th.optim.Adam(model.parameters())\n",
    "\n",
    "for epoch in range(1,700):\n",
    "    pred = model(G, node_features,edge_features).cuda()\n",
    "    loss = criterion(pred[train_mask] ,edge_label[train_mask])\n",
    "    opt.zero_grad()\n",
    "    loss.backward()\n",
    "    opt.step()\n",
    "    if epoch % 100 == 0:\n",
    "        print('Epoch:', epoch ,' Training acc:', compute_accuracy(pred[train_mask], edge_label[train_mask]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#model.load_state_dict(th.load('bot_binary.pt'))\n",
    "#model.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-47-84be06ca8888>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  X_test['h'] = X_test[ cols_to_norm ].values.tolist()\n"
     ]
    }
   ],
   "source": [
    "X_test['h'] = X_test[ cols_to_norm ].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "#G_test = load_graphs(\"bot_test_G.bin\") [0][0]\n",
    "G_test = nx.from_pandas_edgelist(X_test, \"saddr\", \"daddr\", ['h','label'],create_using=nx.MultiGraph())\n",
    "G_test = G_test.to_directed()\n",
    "G_test = from_networkx(G_test,edge_attrs=['h','label'] )\n",
    "actual = G_test.edata.pop('label')\n",
    "G_test.ndata['feature'] = th.ones(G_test.num_nodes(), 53)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_test.ndata['feature'] = th.reshape(G_test.ndata['feature'], (G_test.ndata['feature'].shape[0], 1, G_test.ndata['feature'].shape[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_test.edata['h'] = th.reshape(G_test.edata['h'], (G_test.edata['h'].shape[0], 1, G_test.edata['h'].shape[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_test = G_test.to('cuda:0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "th.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "import timeit\n",
    "start_time = timeit.default_timer()\n",
    "node_features_test = G_test.ndata['feature']\n",
    "edge_features_test = G_test.edata['h']\n",
    "test_pred = model(G_test, node_features_test, edge_features_test).cuda()\n",
    "elapsed = timeit.default_timer() - start_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0490271840008063 seconds\n"
     ]
    }
   ],
   "source": [
    "print(str(elapsed) + ' seconds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_pred = test_pred.argmax(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_pred = th.Tensor.cpu(test_pred).detach().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "actual = [\"Normal\" if i == 0 else \"Attack\" for i in actual]\n",
    "test_pred = [\"Normal\" if i == 0 else \"Attack\" for i in test_pred]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm,\n",
    "                          target_names,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=None,\n",
    "                          normalize=True):\n",
    "    \n",
    "    import matplotlib.pyplot as plt\n",
    "    import numpy as np\n",
    "    import itertools\n",
    "\n",
    "    accuracy = np.trace(cm) / float(np.sum(cm))\n",
    "    misclass = 1 - accuracy\n",
    "\n",
    "    if cmap is None:\n",
    "        cmap = plt.get_cmap('Blues')\n",
    "\n",
    "    plt.figure(figsize=(12, 12))\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "\n",
    "    if target_names is not None:\n",
    "        tick_marks = np.arange(len(target_names))\n",
    "        plt.xticks(tick_marks, target_names, rotation=45)\n",
    "        plt.yticks(tick_marks, target_names)\n",
    "\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "\n",
    "\n",
    "    thresh = cm.max() / 1.5 if normalize else cm.max() / 2\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        if normalize:\n",
    "            plt.text(j, i, \"{:0.4f}\".format(cm[i, j]),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "        else:\n",
    "            plt.text(j, i, \"{:,}\".format(cm[i, j]),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label\\naccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6pCcm+eRw2uFJDhheH7DS+BOHLnR7JbloqsxulQRFAADAgquq9yf5SpLbV9VZVfXUYddj85sNFu6b5OShRfdHkjyzu1c0aXh2krcnOS3J95N8Zhh/dZIHVtWpmQRarx7Gj0jyg+H4tw3nr5HyOQAAmDcbQPVcdz9uNeNPWsXYRzNp0b2q449Lsssqxi9Icv9VjHeS51yTucoUAQAAoyYoAgAARk1QBAAAjJo1RQAAME8qG3RL7nkkUwQAAIyaoAgAABg15XMAADBnlM/NlkwRAAAwaoIiAABg1JTPAQDAnFE+N1syRQAAwKgJigAAgFFTPgcAAPNG9dxMyRQBAACjJigCAABGTVAEAACMmjVFAAAwZ7Tkni2ZIgAAYNQERQAAwKgpnwMAgDlSVcrnZkymCAAAGDVBEQAAMGrK5wAAYM4on5stmSIAAGDUBEUAAMCoKZ8DAIA5o3xutmSKAACAURMUAQAAoyYoAgAARs2aIgAAmDeWFM2UTBEAADBqgiIAAGDUlM8BAMCc0ZJ7tmSKAACAURMUAQAAo6Z8DgAA5kkpn5s1mSIAAGDUBEUAAMCoCYoAAIBRs6YIAADmSCWxpGi2ZIoAAIBRExQBAACjpnwOAADmSmnJPWMyRQAAwKgJigAAgFFTPgcAAHNG9dxsyRQBAACjJigCAABGTfkcAADMGd3nZkumCAAAGDVBEQAAMGqCIgAAYNSsKQIAgHlSWnLPmkwRAAAwaoIiAABg1JTPAQDAHKkky5apn5slmSIAAGDUBEUAAMCoKZ8DAIA5o/vcbMkUAQAAoyYoAgAARk35HAAAzJlSPzdTMkUAAMCoCYoAAIBRExQBAACjZk0RAADMk9KSe9ZkigAAgFETFAEAAKOmfA4AAOZIRUvuWZMpAgAARk1QBAAAjJryOQAAmCulfG7GZIoAAIBRExQBAACjpnwOroHtt9kyb3/FE3Pzm26R7uSQj34pb37/5/P3L3xYHnzfXXLZ5Vfk9LPOz4EHvScXXfLLJMmLn/KgPGn/e+aKK6/Mi17zkfzHV779G9e92x13yFv/7gnZfLNNcuSXvpkXveYjSZJ3v/rJ2enW2yRJttxi8/zs57/MXo99dTbeeFkO/pvHZ9c77JCNN1qW9376a3ntIZ+b3YMAWE8/+9nP8qxnPC3f+uYpqaq85a2HZK973nOppwVzR/XcbAmK4BpYfsWVecnrP5aTvnNWbnj9zfLl9/1Fjv7qd3L0Md/JX//r4bniiivzyufvnz97yoPyV2/8ZO5w21vkUfvslt0e+apse7Mb54i3PDd3ftjLc+WVfbXrvvEvH5PnvOJ9+do3zsgn3vSsPOjeO+dzX/pWnvCSd151zKv/9OFXBVqPeMBu2WzTjXP3R/99Nr/eJjnxo3+VD33muPzvuRfO9HkAXFMv/pMX5EEP2jfv/+BHctlll+XSSy9d6ikBKJ+Da+JH51+ck75zVpLkkkt/le+c/qPc8mZb5uhjvpMrrrgySfK1b5ye7bbZMknykL3vkg8feUIuu3x5fnjOBfn+mefn7rvc+mrXvMXWN8oWN7hevvaNM5Ik7/vU1/LQve/yG/d+xAN3y4c+e3ySpNO5/vU2zUYbLcvmm22ayy6/Ij//xf8tzocGWCAXXXRRvvjFL+RJT3lqkmTTTTfNlltuubSTAoigCNbbjtveJLvefvsce8oZVxt/4v73zJFf+laSZLub3Thn/einV+07+7yf5pY3v/HVjr/lzbfM2ef97NfH/PhnueXNt7zaMffe7bfy4wt/nu//70+SJB/7jxNz6f9dltOPelW+95mX558POzo/vdhfW4H5dsbpp2frrW+WA5/65Oy1x93yrAOfll/84hdLPS2A2QdFVfWwquqqusPwfteqevDU/r2r6l7X4vqXLMQ8YU1usPmmef9rn5Y/e+1Hr5ah+fOn7pMrrrgyHzji2AW936P33SMf/uxxV72/+51unSuuuDK3fdDLcsffPygveML9cuvtbrqg9wRYaMuXL89JJ56Qpz/jWTnmuBNz/RvcIK99zauXelowl6pq7rcNyVJkih6X5IvDzyTZNcmDp/bvnWS9gyJYbBtvvCzvf+3T88HPHJdP/ufXrxr/44fumQffd5c86WXvumrs7J9clO1vsdVV77e7+VY557yLrna9c877Wbabygxtt82WOWcqc7TRRsuy//3umo8cecJVY4/eb4987svfyvLlV+YnP70kXznpB9l95x0X7kMCLILttt8+222/fe6x555Jkoc/4pE56cQT1nIWwOKbaVBUVTdM8jtJnprksVW1aZKXJ3lMVZ1UVX+R5JlJ/mR4f5+qemhVfbWqTqyq/6iqbVZcq6reWVXfqKqTq+oRK91r66r6SlX9/iw/Ixu+txz0+Hz39B/lje/5z6vGHnivO+ZPn/SAPPKF/y+//L/Lrxr/9OdPzqP22S2bbrJxbnXLm+Z2O97sqnK7I97yvNzyZjfOj86/OD//xf/lHne+dZLkjx5yj3zqv0++6hr32/P2+d4ZP75aid1ZP7owe9/99kmS619v09zjLrfOd8/48eJ9aIAFcItb3CLbb79Dvvfd7yZJPv+fR+cOd9x5iWcFMPvuc/sn+Wx3f6+qLkhy5yR/k2SP7n5uklTV5kku6e7XDu+3SrJXd3dVPS3Jnyd5UZK/TnJRd9956rgMr7dJcniSv+ruo1aeRFUdmOTAJMkmN1ysz8oG6F673jaPf8ie+cb3zs4xH3hJkuSgNx2e1/3Zo7LZphvnUwc/N0nytW+ckee/6gP59g9+lI9+7sSc+NGXZfkVV+aFr/5QrryyU1X5rR1vlguHdUAv+IcP5a1/98fZfLNN8rkvfStHfvFbV93zUfvsflWDhRXe8sEv5K1/98c5/iMvS1Xy7k8ek1NOPWdGTwFg/b3+n/81T37i43PZZZfl1re9bd769neu/SQYm9KSe9aqu9d+1ELdrOpTSf6lu4+qqucn2THJKbl6UPS3uXpQdOckr0uybZJNk5ze3ftW1fFJHtvdp650j18lOTXJc7r7v9c2p2XXv3lvdvtHL9hnhHWx829tmwMeds/8xes+ttRTYcR+euyblnoKAEti803q+O7eY6nnsTrX3+72fYdnHLzU01irEw+6/1w/x2tiZpmiqrpJkvsluXNVdZKNknSSb67l1H9N8vruPryq9k7yt2s5fnmS45Psk2StQREshW99/1wBEQDAnJjlmqJHJnl3d9+qu2/d3TskOT2TbNEWU8f9fKX3N05y9vD6gKnxo5I8Z8WbqfK5TvKUJHcY1igBAMB1RkX3uVmbZVD0uCQfX2nso0lukWTnobHCY5L8e5KHr2i0kElm6MNDudz5U+e+MslWVXVKVX09ye+t2NHdVwz3u19VPXvRPhEAAHCdN7Pyue7+vVWMvXE1h99lpfefXMW5l+TqmaMV4zccfv4qkxI6AABgxqrqkCQPSXJed+8yjP1tkqcn+clw2F929xHDvpdm0qX6iiTP7+4jh/F9k/xLJstv3t7drx7Gb5PkA0lumsnymSd092VVtVmSw5LsnuSCJI/p7jPWNNel+J4iAABgw/euJPuuYvwN3b3rsK0IiHZO8tgkdxrO+beq2qiqNkry5iT7Jdk5yeOGY5PkH4dr3S7JTzMJqDL8/Okw/obhuDUSFAEAwJypmv9tbbr7C0kuXMePvH+SD3T3r7r79CSnJbnHsJ3W3T/o7ssyyQztX5NFTfdL8pHh/EOTPGzqWocOrz+S5P61lkVQgiIAAGB9bF1Vx01tB67jec+tqpOr6pCpZmnbJTlz6pizhrHVjd80yc+6e/lK41e71rD/ouH41RIUAQAA6+P87t5janvrOpxzcJLfSrJrknMz+T7SJTezRgsAAMC62dBaXq/Q3T9e8bqq3pbkU8Pbs5PsMHXo9vn11/KsavyCJFtW1cZDNmj6+BXXOquqNs7kK34uWNO8ZIoAAICZqKptp94+PMkpw+vDkzy2qjYbusrtlORrSY5NslNV3aaqNs2kGcPh3d1J/iuT70JNJl2pPzl1rRVdqh+Z5D+H41dLpggAAFhwVfX+JHtnsvborCQHJdm7qnZN0knOSPKMJOnub1bVh5J8K8nyJM8Zvns0VfXcJEdm0pL7kO7+5nCLv0jygap6ZZITk7xjGH9HkndX1WmZNHp47NrmKigCAIA5syFUz3X341Yx/I5VjK04/lVJXrWK8SOSHLGK8R9k0p1u5fH/S/KoazJX5XMAAMCoCYoAAIBRUz4HAADzpDbc7nPzSqYIAAAYNUERAAAwaoIiAABg1KwpAgCAOVLZMFpyX5fIFAEAAKMmKAIAAEZN+RwAAMyV0pJ7xmSKAACAURMUAQAAo6Z8DgAA5ozqudmSKQIAAEZNUAQAAIya8jkAAJgzus/NlkwRAAAwaoIiAABg1ARFAADAqFlTBAAA86S05J41mSIAAGDUBEUAAMCoKZ8DAIA5UtGSe9ZkigAAgFETFAEAAKOmfA4AAOaM8rnZkikCAABGTVAEAACMmvI5AACYM6rnZkumCAAAGDVBEQAAMGqCIgAAYNSsKQIAgDmjJfdsyRQBAACjJigCAABGTfkcAADMk9KSe9ZkigAAgFETFAEAAKOmfA4AAOZIpXSfmzGZIgAAYNQERQAAwKgJigAAgFGzpggAAOaMJUWzJVMEAACMmqAIAAAYNeVzAAAwZ5apn5spmSIAAGDUBEUAAMCoKZ8DAIA5o3putmSKAACAURMUAQAAo6Z8DgAA5khVUurnZkqmCAAAGDVBEQAAMGqCIgAAYNSsKQIAgDmzzJKimZIpAgAARk1QBAAAjJryOQAAmDNacs+WTBEAADBqgiIAAGDUlM8BAMCcUT03WzJFAADAqAmKAACAUVM+BwAAc6SSVNTPzZJMEQAAMGqCIgAAYNQERQAAwKhZUwQAAHNmmSVFMyVTBAAAjJqgCAAAGDXlcwAAME+qUqV+bpZkigAAgFETFAEAAKOmfA4AAOaM6rnZkikCAABGTVAEAACMmvI5AACYI5Vkmfq5mZIpAgAARk1QBAAAjJqgCAAAGDVrigAAYM5YUjRbMkUAAMCoCYoAAIBRUz4HAABzptTPzZRMEQAAMGqCIgAAYMFV1SFVdV5VnTI19k9V9Z2qOrmqPl5VWw7jt66qX1bVScP2lqlzdq+qb1TVaVX1xhrSaFV1k6o6qqpOHX5uNYzXcNxpw312W9tcBUUAADBHqq4b2zp4V5J9Vxo7Ksku3X2XJN9L8tKpfd/v7l2H7ZlT4wcneXqSnYZtxTVfkuTo7t4pydHD+yTZb+rYA4fz10hQBAAALLju/kKSC1ca+1x3Lx/eHpNk+zVdo6q2TXKj7j6muzvJYUkeNuzeP8mhw+tDVxo/rCeOSbLlcJ3VEhQBAADrY+uqOm5qO/Aanv+UJJ+Zen+bqjqxqv67qu4zjG2X5KypY84axpJkm+4+d3j9oyTbTJ1z5mrOWSXd5wAAgPVxfnfvsT4nVtXLkixP8t5h6NwkO3b3BVW1e5JPVNWd1vV63d1V1eszl0RQBAAAc2fZBtySu6qelOQhSe4/lMSlu3+V5FfD6+Or6vtJfjvJ2bl6id32w1iS/Liqtu3uc4fyuPOG8bOT7LCac1ZJ+RwAADATVbVvkj9P8gfdfenU+M2qaqPh9W0zaZLwg6E87uKq2mvoOvfEJJ8cTjs8yQHD6wNWGn/i0IVuryQXTZXZrZJMEQAAsOCq6v1J9s5k7dFZSQ7KpNvcZkmOGjprHzN0mrtvkpdX1eVJrkzyzO5e0aTh2Zl0sts8kzVIK9YhvTrJh6rqqUl+mOTRw/gRSR6c5LQklyZ58trmKigCAIA5syEUz3X341Yx/I7VHPvRJB9dzb7jkuyyivELktx/FeOd5DnXZK7K5wAAgFETFAEAAKOmfA4AAOZMbcDd5+aRTBEAADBqgiIAAGDUlM8BAMAcqSTLVM/NlEwRAAAwaoIiAABg1ARFAADAqFlTBAAA86RKS+4ZkykCAABGTVAEAACMmvI5AACYM6rnZkumCAAAGDVBEQAAMGrK5wAAYM7oPjdbMkUAAMCoCYoAAIBRUz4HAABzpJIsUz03UzJFAADAqAmKAACAURMUAQAAo2ZNEQAAzBktuWdLpggAABg1QREAADBqyucAAGDOKJ6bLZkiAABg1ARFAADAqCmfAwCAOVKVLNN9bqZWGxRV1b8m6dXt7+7nL8qMAAAAZmhNmaLjZjYLAACAJbLaoKi7D51+X1XX7+5LF39KAAAwbqrnZmutjRaq6p5V9a0k3xne37Wq/m3RZwYAADAD69J97p+T7JPkgiTp7q8nue8izgkAAGBm1qkld3efudLQFYswFwAAgJlbl5bcZ1bVvZJ0VW2S5AVJvr240wIAgPEqi4pmal0yRc9M8pwk2yU5J8muw3sAAIDrvLVmirr7/CSPn8FcAAAAZm5dus/dtqr+vap+UlXnVdUnq+q2s5gcAACMUdX8bxuSdSmfe1+SDyXZNsktk3w4yfsXc1IAAACzsi5B0fW7+93dvXzY3pPkeos9MQAAgFlY7ZqiqrrJ8PIzVfWSJB9I0kkek+SIGcwNAABGp1JZtqHVp825NTVaOD6TIGjFfyPPmNrXSV66WJMCAACYldUGRd19m1lOBAAAYCmsy5e3pqp2SbJzptYSdfdhizUpAACAWVlrUFRVByXZO5Og6Igk+yX5YhJBEQAALLQNsOX1vFuX7nOPTHL/JD/q7icnuWuSGy/qrAAAAGZkXYKiX3b3lUmWV9WNkpyXZIfFnRYAAMBsrMuaouOqasskb8ukI90lSb6ymJMCAIAxK/VzM7XWoKi7nz28fEtVfTbJjbr75MWd1uzc7Y475ktffdNSTwMAAFgia/ry1t3WtK+7T1icKQEAAMzOmjJFr1vDvk5yvwWeCwAAkHVb+M/CWdOXt/7eLCcCAACwFAShAADAqK1L9zkAAGBGKrrPzZpMEQAAMGprDYpq4o+r6m+G9ztW1T0Wf2oAAACLb10yRf+W5J5JHje8/3mSNy/ajAAAAGZoXdYU7dndu1XViUnS3T+tqk0XeV4AADBayywpmql1yRRdXlUbZfLdRKmqmyW5clFnBQAAMCPrEhS9McnHk9y8ql6V5ItJ/n5RZwUAADAjay2f6+73VtXxSe6fSYfAh3X3txd9ZgAAMFLK52ZrrUFRVe2Y5NIk/z491t3/u5gTAwAAmIV1abTw6UzWE1WS6yW5TZLvJrnTIs4LAABgJtalfO7O0++rarckz160GQEAwIhVJVXq52ZpXRotXE13n5Bkz0WYCwAAwMyty5qiP516uyzJbknOWbQZAQAAzNC6rCnaYur18kzWGH10caYDAADoPjdbawyKhi9t3aK7Xzyj+QAAAMzUatcUVdXG3X1FknvPcD4AAAAztaZM0dcyWT90UlUdnuTDSX6xYmd3f2yR5wYAALDo1mVN0fWSXJDkfvn19xV1EkERAAAsAh25Z2tNQdHNh85zp+TXwdAKvaizAgAAmJE1BUUbJblhrh4MrSAoAgAANghrCorO7e6Xz2wmAABAKsky9XMztdruc1l1hggAAGCDsqag6P4zmwUAAMASWW35XHdfOMuJAAAAE2vKXLDwPG8AAGDUBEUAAMCoCYoAAIBRW1NLbgAAYAnoyD1bMkUAAMCoCYoAAIBRUz4HAABzpKqyTP3cTMkUAQAAoyYoAgAAFlxVHVJV51XVKVNjN6mqo6rq1OHnVsN4VdUbq+q0qjq5qnabOueA4fhTq+qAqfHdq+obwzlvrJqk11Z3jzURFAEAwJypmv9tHbwryb4rjb0kydHdvVOSo4f3SbJfkp2G7cAkB0+eQ90kyUFJ9kxyjyQHTQU5Byd5+tR5+67lHqslKAIAABZcd38hyYUrDe+f5NDh9aFJHjY1flhPHJNky6raNsk+SY7q7gu7+6dJjkqy77DvRt19THd3ksNWutaq7rFaGi0AAADrY+uqOm7q/Vu7+61rOWeb7j53eP2jJNsMr7dLcubUcWcNY2saP2sV42u6x2oJigAAYM4su240nzu/u/dY35O7u6uqF3JC63sP5XMAAMCs/Hgofcvw87xh/OwkO0wdt/0wtqbx7VcxvqZ7rJagCAAAmJXDk6zoIHdAkk9OjT9x6EK3V5KLhhK4I5M8qKq2GhosPCjJkcO+i6tqr6Hr3BNXutaq7rFayucAAIAFV1XvT7J3JmuPzsqki9yrk3yoqp6a5IdJHj0cfkSSByc5LcmlSZ6cJN19YVW9Ismxw3Ev7+4VzRuenUmHu82TfGbYsoZ7rJagCAAA5kglWbaOPa/nWXc/bjW77r+KYzvJc1ZznUOSHLKK8eOS7LKK8QtWdY81UT4HAACMmqAIAAAYNeVzAAAwZzaA6rnrFJkiAABg1ARFAADAqCmfAwCAeVLJMuVzMyVTBAAAjJqgCAAAGDXlcwAAMGcq6udmSaYIAAAYNUERAAAwaoIiAABg1KwpAgCAOVLRknvWZIoAAIBRExQBAACjpnwOAADmjPK52ZIpAgAARk1QBAAAjJryOQAAmDNV6udmSaYIAAAYNUERAAAwasrnAABgjvjy1tmTKQIAAEZNUAQAAIyaoAgAABg1a4oAAGCeVKIj92zJFAEAAKMmKAIAAEZN+RwAAMyZZernZkqmCAAAGDVBEQAAMGrK5wAAYI5UkmWq52ZKpggAABg1QREAADBqgiIAAGDUrCkCAIA5oyP3bMkUAQAAoyYoAgAARk35HAAAzJXKsqifmyWZIgAAYNQERQAAwKgpnwMAgDlS0X1u1mSKAACAURMUAQAAo6Z8DgAA5kkly5TPzZRMEQAAMGqCIgAAYNQERQAAwKhZUwQAAHNmmZ7cMyVTBAAAjJqgCAAAGDXlcwAAMEcqieq52ZIpAgAARk1QBAAAjJryOQAAmDO6z82WTBEAADBqgiIAAGDUlM8BAMCcUT03WzJFAADAqAmKAACAURMUAQAAo2ZNEQAAzJGKzMWsed4AAMCoCYoAAIBRUz4HAADzpJLSk3umZIoAAIBRExQBAACjpnwOAADmjOK52ZIpAgAARk1QBAAAjJryOQAAmCOVZJnuczMlUwQAAIyaoAgAABg1QREAADBq1hQBAMCcsaJotmSKAACAURMUAQAAo6Z8DgAA5oyO3LMlUwQAAIyaoAgAABg15XMAADBXKqV+bqZkigAAgFETFAEAAKMmKAIAAEbNmiIAAJgjFZmLWfO8AQCAURMUAQAAC6qqbl9VJ01tF1fVC6vqb6vq7KnxB0+d89KqOq2qvltV+0yN7zuMnVZVL5kav01VfXUY/2BVbbq+8xUUAQDAnKmqud/WpLu/2927dveuSXZPcmmSjw+737BiX3cfMXzenZM8Nsmdkuyb5N+qaqOq2ijJm5Psl2TnJI8bjk2SfxyudbskP03y1PV93oIiAABgMd0/yfe7+4drOGb/JB/o7l919+lJTktyj2E7rbt/0N2XJflAkv1rEpXdL8lHhvMPTfKw9Z2goAgAAFgfW1fVcVPbgas57rFJ3j/1/rlVdXJVHVJVWw1j2yU5c+qYs4ax1Y3fNMnPunv5SuPrRVAEAABzpq4DW5Lzu3uPqe2tv/E5Jut8/iDJh4ehg5P8VpJdk5yb5HXX5jktFC25AQCAxbJfkhO6+8dJsuJnklTV25J8anh7dpIdps7bfhjLasYvSLJlVW08ZIumj7/GZIoAAIDF8rhMlc5V1bZT+x6e5JTh9eFJHltVm1XVbZLslORrSY5NstPQaW7TTErxDu/uTvJfSR45nH9Akk+u7yRligAAYJ5U1trd7bqgqm6Q5IFJnjE1/Jqq2jVJJzljxb7u/mZVfSjJt5IsT/Kc7r5iuM5zkxyZZKMkh3T3N4dr/UWSD1TVK5OcmOQd6ztXQREAALDguvsXmTREmB57whqOf1WSV61i/IgkR6xi/AeZdKe71pTPAQAAoyYoAgAARk35HAAAzJGKzMWsed4AAMCoCYoAAIBRUz4HAABzZkNoyX1dIlMEAACMmqAIAAAYNeVzAAAwZxTPzZZMEQAAMGqCIgAAYNSUzwEAwJzRfG62ZIoAAIBRExTBEvnckZ/NXe50+9zpDrfLP73m1Us9HYAFc+aZZ2afB/xe7naXnbPbXe+UN73xX5IkXz/ppNz33ntlz913zb333CPHfu1rV53zhf/+fPbcfdfsdtc75YH3+92lmjowUsrnYAlcccUVeeHzn5NPf+aobLf99vmdve6ehzzkD3LHnXde6qkBXGsbb7xxXv2a1+Vuu+2Wn//857nXnrvn/g94YF720j/Py/76oOyz73757GeOyMte+uf53NGfz89+9rO84HnPzic/9dnsuOOOOe+885b6IwAjIyiCJXDs176W3/qt2+U2t71tkuRRj3lsPvXvnxQUARuEbbfdNttuu22SZIsttsgd7nDHnHPO2amqXHzxxUmSiy66KNve8pZJkg++/33Z/2F/mB133DFJcvOb33xpJg5zopIs05R7pgRFsATOOefsbL/9Dle932677fO1r311CWcEsDh+eMYZOemkE3P3e+yZf3rdP+ehv79PXvoXL86VV16Z//rCl5Mkp576vSy//PI86P5755Kf/zzPed4L8vgnPHGJZw6MyaKtKaqqrqrXTb1/cVX97WLdbzVz+HxV7THLewIAE5dcckke9+hH5J9e98+50Y1ulLf+v4Pzmte+IaedfmZe89o35FkHPjVJsnz58pxwwvH5+OGfzuFHHJl/+PtX5NTvfW+JZw+MyWI2WvhVkj+sqq3X5+SqksVig3XLW26Xs84686r3Z599VrbbbrslnBHAwrr88svzuEc/Io953OPzsIf/YZLkve8+9KrXj3jko3LcsZNGC9ttv30e+KB9coMb3CBbb711fud37puTT/76ks0d5kHV/G8bksUMipYneWuSP1l5R1Xduqr+s6pOrqqjq2rHYfxdVfWWqvpqktcM7w+uqmOq6gdVtXdVHVJV366qd01d7+CqOq6qvllVf7eInwkWxB53v3tOO+3UnHH66bnsssvy4Q9+IL//kD9Y6mkBLIjuzjOf/tTc/g53zAv+5E+vGt/2lrfM/3zhv5Mkn/+v/8ztbrdTkuShD90/X/7SF7N8+fJceumlOfbYr+YOd7jjkswdGKfFzsa8OcnJVfWalcb/Ncmh3X1oVT0lyRuTPGzYt32Se3X3FUPgs1WSeyb5gySHJ7l3kqclObaqdu3uk5K8rLsvrKqNkhxdVXfp7pNXN6mqOjDJgUmyw7CoE2Zp4403zhv+5U156O/vkyuuuCIHPOkp2flOd1rqaQEsiC9/6Ut533vfnV12uXP23H3XJMnfvfLv8+aD35Y/+9MXZPny5dnsetfLmw5+a5LkDne8Yx64z765+253ybJly/KkJz8td9pllyX8BMDYVHcvzoWrLunuG1bVy5NcnuSXSW7Y3X9bVecn2ba7L6+qTZKc291bD0HQf3X3ocM13pXkqO5+b1XdNsmR3b3TsO+wJB/r7k9U1TMzCXI2TrJtkud19weq6vNJXtzdx61unrvvvkd/6aur3Q0AwAZm803q+O6e23XnO91p1/7nD35uqaexVg+58zZz/RyviVl8ees/J3lqkhus4/G/WOn9r4afV069XvF+46q6TZIXJ7l/d98lyaeTXG+9ZwsAAIzKogdF3X1hkg9lEhit8OUkjx1ePz7J/1yLW9wok0DqoqraJsl+1+JaAADAyMyqw9vrkjx36v3zkryzqv4syU+SPHl9L9zdX6+qE5N8J8mZSb50bSYKAABLbUPr7jbvFi0o6u4bTr3+cZLrT73/YZL7reKcJ63ufXefkWSX1ey72nlT43tf44kDAACjMos1RQAAAHNLUAQAAIzarNYUAQAA66CSLItFRbMkUwQAAIyaoAgAABg15XMAADBPSkvuWZMpAgAARk1QBAAAjJryOQAAmDPK52ZLpggAABg1QREAADBqgiIAAGDUrCkCAIA5U7GoaJZkigAAgFETFAEAAKOmfA4AAOZIJVmmem6mZIoAAIBRExQBAACjpnwOAADmjO5zsyVTBAAAjJqgCAAAGDXlcwAAMGdK9dxMyRQBAACjJigCAABGTVAEAACMmjVFAAAwZ7Tkni2ZIgAAYNQERQAAwKgpnwMAgDlSSZapnpspmSIAAGDUBEUAAMCoKZ8DAIC5UrrPzZhMEQAAMGqCIgAAYNSUzwEAwDyppFTPzZRMEQAAMGqCIgAAYNQERQAAwKhZUwQAAHPGkqLZkikCAABGTVAEAACMmvI5AACYI5VkmZ7cMyVTBAAAjJqgCAAAGDXlcwAAMGcUz82WTBEAADBqgiIAAGDUlM8BAMC8UT83UzJFAADAqAmKAACAURMUAQAAo2ZNEQAAzJmyqGimZIoAAIBRExQBAACjpnwOAADmTKmemymZIgAAYNQERQAAwKgpnwMAgDmjem62ZIoAAIBRExQBAACjJigCAAAWXFWdUVXfqKqTquq4YewmVXVUVZ06/NxqGK+qemNVnVZVJ1fVblPXOWA4/tSqOmBqfPfh+qcN56531aGgCAAA5k1dB7Z183vdvWt37zG8f0mSo7t7pyRHD++TZL8kOw3bgUkOTiZBVJKDkuyZ5B5JDloRSA3HPH3qvH3XeVYrERQBAACzsn+SQ4fXhyZ52NT4YT1xTJItq2rbJPskOaq7L+zunyY5Ksm+w74bdfcx3d1JDpu61jUmKAIAANbH1lV13NR24Er7O8nnqur4qX3bdPe5w+sfJdlmeL1dkjOnzj1rGFvT+FmrGF8vWnIDAMAcmVSnXSeacp8/VRa3Kr/T3WdX1c2THFVV35ne2d1dVb24U1w3MkUAAMCC6+6zh5/nJfl4JmuCfjyUvmX4ed5w+NlJdpg6ffthbE3j269ifL0IigAAgAVVVTeoqi1WvE7yoCSnJDk8yYoOcgck+eTw+vAkTxy60O2V5KKhzO7IJA+qqq2GBgsPSnLksO/iqtpr6Dr3xKlrXWPK5wAAYJ5Usv7NpefGNkk+PnTJ3jjJ+7r7s1V1bJIPVdVTk/wwyaOH449I8uAkpyW5NMmTk6S7L6yqVyQ5djju5d194fD62UnelWTzJJ8ZtvUiKAIAABZUd/8gyV1XMX5BkvuvYryTPGc11zokySGrGD8uyS7XerJRPgcAAIycTBEAAMyZ63713HWLTBEAADBqgiIAAGDUBEUAAMCoWVMEAADzxqKimZIpAgAARk1QBAAAjJryOQAAmCuVUj83UzJFAADAqAmKAACAUVM+BwAAc6ZUz82UTBEAADBqgiIAAGDUlM8BAMAcqfju1lmTKQIAAEZNUAQAAIyaoAgAABg1a4oAAGDeWFQ0UzJFAADAqAmKAACAUVM+BwAAc6bUz82UTBEAADBqgiIAAGDUlM8BAMCcKdVzMyVTBAAAjJqgCAAAGDXlcwAAMGdUz82WTBEAADBqgiIAAGDUBEUAAMCoWVMEAADzpGJR0YzJFAEAAKMmKAIAAEZN+RwAAMyZUj83UzJFAADAqAmKAACAUVM+BwAAc6SSlOq5mZIpAgAARk1QBAAAjJqgCAAAGDVrigAAYM5YUjRbMkUAAMCoCYoAAIBRUz4HAADzRv3cTMkUAQAAoyYoAgAARk35HAAAzJlSPzdTMkUAAMCoCYoAAIBRUz4HAABzplTPzZRMEQAAMGqCIgAAYNQERQAAwKhZUwQAAHPGkqLZkikCAABGTVAEAACMmvI5AACYN+rnZkqmCAAAGDVBEQAAMGrK5wAAYI5UklI/N1MyRQAAwKgJigAAgFFTPgcAAPOkklI9N1MyRQAAwKgJigAAgFETFAEAAKNmTREAAMwZS4pmS6YIAAAYNUERAAAwasrnAABg3qifmymZIgAAYNQERQAAwKgpnwMAgLlSKfVzMyVTBAAAjJqgCAAAGDXlcwAAMGdK9dxMyRQBAACjJigCAABGTVAEAACMmjVFAAAwR2rYmB2ZIgAAYNQERQAAwKgpnwMAgHmjfm6mZIoAAIBRG32m6IQTjj9/803qh0s9D0Zr6yTnL/UkAJaAf/9YSrda6gkwX0YfFHX3zZZ6DoxXVR3X3Xss9TwAZs2/f7BmdR2vn6uqHZIclmSbJJ3krd39L1X1t0menuQnw6F/2d1HDOe8NMlTk1yR5PndfeQwvm+Sf0myUZK3d/erh/HbJPlAkpsmOT7JE7r7svWZr/I5AABgoS1P8qLu3jnJXkmeU1U7D/ve0N27DtuKgGjnJI9Ncqck+yb5t6raqKo2SvLmJPsl2TnJ46au84/DtW6X5KeZBFTrRVAEAAAsqO4+t7tPGF7/PMm3k2y3hlP2T/KB7v5Vd5+e5LQk9xi207r7B0MW6ANJ9q+qSnK/JB8Zzj80ycPWd76CIlhab13qCQAsEf/+wXXf1lV13NR24KoOqqpbJ7lbkq8OQ8+tqpOr6pCq2moY2y7JmVOnnTWMrW78pkl+1t3LVxpfL6NfUwRLqbv9UgCMkn//YM3qurGk6Py1rQ2sqhsm+WiSF3b3xVV1cJJXZLLO6BVJXpfkKYs+07UQFAEAAAuuqjbJJCB6b3d/LEm6+8dT+9+W5FPD27OT7DB1+vbDWFYzfkGSLatq4yFbNH38NaZ8DgAAWFDDmp93JPl2d79+anzbqcMenuSU4fXhSR5bVZsNXeV2SvK1JMcm2amqblNVm2bSjOHw7u4k/5XkkcP5ByT55PrOV6YIAADmzHWjem6N7p3kCUm+UVUnDWN/mUn3uF0zKZ87I8kzkqS7v1lVH0ryrUw61z2nu69Ikqp6bpIjM2nJfUh3f3O43l8k+UBVvTLJiZkEYeulJkEWMC+qqtr/MIERq6o7JflFd5+x1HOBpXCXXXfvT//nl5d6Gmu1402vd/yG8n1jyudg/ixLkqraZVicCDA2f57kFVV1q6WeCDAOgiKYE1W1e5J09xVDWvnN8b9RYJyekuSyJC8bWvnCuNSk+9y8bxsSv3DB/PiXqvr88PrbSc5P8vNkUlJXVf73CmywhkXZSSZ/HMpkncEmSf5KYAQsNr9kwRJbEex09+8kubyqPp3kiiTfzdAMZVhjtNGSTRJgEU2vpayqPavq7kOL3admshj7r5TSAYtJ9zlYQsMvAlcOr6/X3Q+sqv9J8r9Jfppks6q6cSZB0veq6o3dffkSThlgwU0FRC9K8gdJLq6q/03y+kwyRv+W5DVV9eLuPnP1V4INyQZWnzbnZIpgCU39IvCCTP4Pf5Puvk+SL2byRWXvSPLh4f3HBUTAhqqqHp7kgd39u0m+l+QBSZ6f5FZJnp3kR5m06QVYcDJFsMSq6nFJ/jjJ/iuCnu5+dFUdleR13b3fkk4QYBGs4usHfpjk2VX1jCR3SrJfkndnki36y+5+wRJMExgJmSJYendK8s7uPqeqNq2qTZKkux+Y5DJ19MCGZqU1RDsP5cMndPcPktw1kz8I/SCTb6u/OMlPlnC6wAjIFMEMreaLWS9Kcosk6e7LhuP2T3JKd+8/4ykCLLqpgOh5SZ6W5Pyqen2SozP5Nvs3DN9sv0+Sx3T3+Us2WVgClQ2v5fW8ExTBjKz0l9H9kvw4k7+AfjzJx6rq+0mOS7JLkr9Jsu9SzRVgMaz07+DNk9wrye8meVSSRybZIsknMvlj0d5JDhgyRgCLSlAEM7JSU4XHZfJ//PdL8qLh/V9n8lfRm2byl1EdloANytS/g8/IJADarLt/luRtVXVFkgcNY4dW1fuG7ysCWHTWFMEMVdV9Mmk3e+9Mgp/rZ9JqdovufmySAzIJiE5ZulkCLJ6q+sMkz01yaZI7V9UbkqS7D0lybJJ7VdWNBESMXV0Htg2JoAgWUVXdqKpuMby+dSblck8YtrtnUiJ3cpLDquoh3X358FdTgA1C1a9XRlTV7yb5wyR/1d3/luSBSe4yrCdKdx+c5M+7++IlmSwwWsrnYJEMXeTukeS3q+q3M2mmcEB3/6qqbpnkH7v7kqo6O8lHk3xjCacLsOBWWkP0h5msH7ppkntX1Ve7+4yqemqSj1bVP3T3SzP54xHATAmKYBEMvwhcPjRP+Oskt03y7O7+1XDIjZL8WVXtkUnW6P7WEAEbmqmAaN9MSubuP2wHJNmvqj49BEYPz1CNs4oOnTBKus/NlqAIFlhVbZnkjkm+kslfRL+R5JtJ7lRVP+nuY7r7JVX1Z5n8EvAIARGwoaqqvZM8K8mxQ8DzH1W1RZL9k2xeVR/u7v9dwikCCIpgoUyVidwiyQOq6qVJbtbd96yq2yd5SpLfr6oLkmybSfvt/+7uK5du1gALaxXfx3Z6knOT3Laq7trdX+/uj1fVppl04HzvkkwUYIpGC7BwtkmS7v5Okhtn0lr26GHsu0k+mGSjJK9K8uEkZwmIgA3JSmuIHjp8J9stkzwvyU+SPKqq7pwk3f3BJC/q7ouWbMIwx+o68J8NiUwRLICqukOSb1XVG5Mck+QVSU7J5C+jL03y6u4+oaouS3Jlkl909w+XbsYAi6eqnp3kaUk+k0m3uXcm+ZMkr0vypKo6pLu/2d2XLOE0Aa4iKIKFcUmSL2dSIvL0TL6J/egkZyS5VZLnVdWFmTRc+Ifuvnxppgmw8KpqxyQXdPcvqurmSR6d5PHd/e2qem2S45Ock0mm/C+S/HjpZgvwm5TPwQLo7rOSfC3Jbkn2SfKFJI9I8uwkv8yklO6FST4iIAI2JFW1TZIXJXlWVd2wu89Lcn6Sy5Kku3+ayb9/d+7uc5P8WXefv1TzBVgVQRFcS1NfTPiSJJ1k60z+IrpXki8l2TOTUro/7O5vLckkARbPT5Icm8naoScP/yaeluQDVbWiIuVWSbavqo2SLF+aacJ1TF0Htg2I8jm4lrq7pwKjUzOpmd89yQu7+xNVdcck53b3z5ZqjgALrap2SrKsu79bVe9NclGS/ZI8ffjagYOTfKGqTs7kj0OP7+4rlnDKAKslKIIFMHRbuqyq3pPkv5O8ubs/Mez79lLODWChVdVNk3w3yflV9XdJrkjy1kw6b96uqp7R3c+qqj2TXC/JP3b36Us3Y4A1ExTBAhr+YvqSJLeuqut396VLPSeAhdbdF1TVA5L8Ryal+HfN5GsHLslkLdGdhwz6O7v7V0s3U7ju2sCq0+aeoAgW3jGZtKAF2GB1939W1T5J3phJULRNJl/G+tgk90hy+yTvTyIoAuaeoAgWWHd/p6oeK0sEbOi6+6iqenEmzWT26u5Dq+rwJJskub4vZgWuKwRFsAgERMBYdPenq+rKJMdU1T27+4KlnhNc11VNNmZHUAQAXCvd/Zmq2jTJf1TV7t195VLPCeCa8D1FAMC11t2fTHIfARFwXSRTBAAsiO6+ZKnnABuK0n9upmSKAACAURMUAQAAoyYoAgAARs2aIgAAmDeWFM2UTBHAjFTVFVV1UlWdUlUfrqrrX4trvauqHjm8fntV7byGY/euqnutxz3OqKqt13V8pWOu0YL7qvrb4UtAAWDmBEUAs/PL7t61u3dJclmSZ07vrKr1yt5399O6+1trOGTvJNc4KAKAsRAUASyN/0lyuyGL8z9VdXiSb1XVRlX1T1V1bFWdXFXPSJKaeFNVfbeq/iPJzVdcqKo+X1V7DK/3raoTqurrVXV0Vd06k+DrT4Ys1X2q6mZV9dHhHsdW1b2Hc29aVZ+rqm9W1duzDsUbVfWJqjp+OOfAlfa9YRg/uqpuNoz9VlV9djjnf6rqDgvyNAE2MHUd2DYk1hQBzNiQEdovyWeHod2S7NLdpw+BxUXdffeq2izJl6rqc0nuluT2SXZOsk2SbyU5ZKXr3izJ25Lcd7jWTbr7wqp6S5JLuvu1w3HvS/KG7v5iVe2Y5Mgkd0xyUJIvdvfLq+r3kzx1HT7OU4Z7bJ7k2Kr6aHdfkOQGSY7r7j+pqr8Zrv3cJG9N8szuPrWq9kzyb0nutx6PEQAWjKAIYHY2r6qThtf/k+QdmZS1fa27Tx/GH5TkLivWCyW5cZKdktw3yfu7+4ok51TVf67i+nsl+cKKa3X3hauZxwOS7Fx11d/5blRVNxzu8YfDuZ+uqp+uw2d6flU9fHi9wzDXC5JcmeSDw/h7knxsuMe9knx46t6brcM9AGBRCYoAZueX3b3r9MAQHPxieijJ87r7yJWOe/ACzmNZkr26+/9WMZd1VlV7ZxJg3bO7L62qzye53moO7+G+P1v5GQDwm67hP8lcS9YUAcyXI5M8q6o2SZKq+u2qukGSLyR5zLDmaNskv7eKc49Jct+qus1w7k2G8Z8n2WLquM8led6KN1W16/DyC0n+aBjbL8lWa5nrjZP8dAiI7pBJpmqFZUlWZLv+KJOyvIuTnF5VjxruUVV117XcAwAWnaAIYL68PZP1QidU1SlJ/l8mWf2PJzl12HdYkq+sfGJ3/yTJgZmUqn09vy5f+/ckD1/RaCHJ85PsMTRy+FZ+3QXv7zIJqr6ZSRnd/65lrp9NsnFVfTvJqzMJylb4RZJ7DJ/hfklePow/PslTh/l9M8n+6/BMAGBRVXcv9RwAAIDBrrvt3kf/z1eXehprtfUNNzm+u/dY6nksBGuKAABgrlRqg2t6Pd+UzwEAAKMmKAKYkaq67/DFqsunWm6v6rjdq+obVXVaVb2xhrZwVXWTqjqqqk4dfm41jNdw3GnDOqHdpq51wHD8qVV1wAJ+liOqastreM7eVfWphZrDOtxvtc9lpePm/nkDsLgERcCoDV+kOiv/m+RJSd63luMOTvL0TL7zZ6ck+w7jL0lydHfvlOTo4X0y+SLYFcceOJy/ovvcQUn2THKPJAet+MX+2uruB3f3zxbiWotolc9lFeb+eQPjUpm05J73bUMiKALmUlV9oqqOr6pvVtWBU+P7DtmWr1fV0cPYDavqncNf+0+uqkcM45dMnffIqnrX8PpdVfWWqvpqktdU1T2q6itVdWJVfbmqbj8ct1FVvbaqThmu+7yqul9VfWLqug+sqo+vy2fq7jO6++RMvth0dZ972yQ36u5jetIJ57AkDxt275/k0OH1oSuNH9YTxyTZcrjOPkmO6u4Lu/unSY7K8At/Vb29qn5jcezwbA6uqmOq6gdDdueQqvr2iuc3HHdGVW1dVTeoqk8P/32cUlWPGfbffXiWX6+qr1XVFivdZ3XP/E7D8ScNz3yn1d1jHazuucz8eQMw3zRaAObVU7r7wqraPMmxVfXRTP6Q87Yk9+3u0+vX38Pz10ku6u47J8k6/nV++yT36u4rqupGSe7T3cur6gFJ/j7JIzLJAtw6ya7Dvpsk+WmSf6uqmw0tsJ+c5JDhvh9McvtV3Ov13X3YOn7u7ZKcNfX+rGEsSbbp7nOH1z9Kss3UOWeu4pzVjae7n7aGOWyV5J5J/iDJ4UnuneRpmfz3sGt3nzR17L5Jzunu30+SqrpxVW2aSTvwx3T3scPz/eVK9/hOVv3Mn5nkX7r7vcN1Nkry4JXvMfx8Q1b9fU0f6O5Xr+Hznzs1NpPnDcB8ExQB8+r5VfXw4fUOmZQq3SzJF7r79CTp7guH/Q9I8tgVJw5/pV+bD3f3FcPrGyc5tKp2StJJNpm67lu6e/n0/arq3Un+uKremUnw8MRh/7pmMK617u6qWqzvVPj34frfSPLj7v5GktTk+4tuneSkqWO/keR1VfWPST7V3f9TVXdOcm53HzvM9eLh/Ol7rO6ZfyXJy6pq+yQf6+5Th3lc7R7Ddf9kET77Ki3y8wZgiSmfA+ZOVe2dSUByz+6+a5ITk1xvPS41/Uvsyuf/Yur1K5L8V3fvkuSh63Cvdyb54ySPyyS4Wj7M+4ND2dfK2xOvwZzPziSLtcL2w1iS/HhF+dfw87ypc3ZYxTmrG1+bXw0/r5x6veL91f6Y1t3fS7JbJsHRK6vqb9bh+slqnnl3vy+TDNUvkxxRVfdb3T2q6g2red4r1v6sy+efh+cNwBITFAHz6MZJftrdl1bVHZLsNYwfk+S+VXWb5KqF7clk7cZzVpw8VT7346q6Y1UtS7Ii67S6+6345fVJU+NHJXlGDc0YVtyvu89Jck6Sv8okQMow/pju3nUV27qWzmUo17q4qvaqSWrliUk+Oew+PMmKjmYHrDT+xJrYK5NSwnOTHJnkQVW11fBMHjSMpaoOq6p7rOu8Vqeqbpnk0u5+T5J/yiR4+W6Sbavq7sMxW9RvNrRY5TOvqtsm+UF3v3H4fHdZzT3S3X+ymuf96rU8l6vM6nkDMN8ERcA8+mySjavq20lenUkwlGENz4FJPlZVX89k3UqSvDLJVsMi/K/n1+tMXpLkU0m+nKuvI1nZa5L8Q1WdmKtnQt6eSce4k4fr/tHUvvcmObO7v72uH6omzQfOSvKoJP9vKEdbse+kqUOfPdz7tCTfT/KZYfzVSR5YVadmkklb8cv/EUl+MBz/tuH8FeV+r0hy7LC9fKrk8C6ZBHbX1p2TfG2Y/0FJXtndlyV5TJJ/HZ7bUfnN7Nvqnvmjk5wyXG+XTBof/MY91nFuq3wuyZI8b4BrZKk7y42t+1xNmu0AcE1U1ZuSnNjd71jquVxTQ+ODd3T3o5Z6LgD8prvttkf/15e+utTTWKutrr/x8d39G51Mr4s0WgC4hqrq+EzWJL1oqeeyPobGBwIiABgIigCuoe7efannAAAsHEERAADMmcoGtmhnzmm0AAAAjJqgCAAAGDXlcwAAME82wJbX806mCAAAGDVBEQAAMGrK5wAAYI7UsDE7MkUAAMCoCYoAAIBRUz4HAADzRv3cTMkUAQAAoyYoAgAARk1QBAAAjJo1RQAAMGfKoqKZkikCAABGTVAEAACMmvI5AACYM6V6bqZkigAAgFETFAEAAKOmfA4AAOaM6rnZkikCAABGTVAEAACMmvI5AACYN+rnZkqmCAAAGDVBEQAAMGqCIgAAYNSsKQIAgDlTFhXNlEwRAAAwaoIiAABg1ARFAAAwRypJ1fxva/0cVftW1Xer6rSqesmiP7hrQVAEAAAsqKraKMmbk+yXZOckj6uqnZd2VqsnKAIAABbaPZKc1t0/6O7Lknwgyf5LPKfV0n0OAADmyAknHH/k5pvU1ks9j3Vwvao6bur9W7v7rcPr7ZKcObXvrCR7zmxm15CgCAAA5kh377vUcxgb5XMAAMBCOzvJDlPvtx/G5pKgCAAAWGjHJtmpqm5TVZsmeWySw5d4TqulfA4AAFhQ3b28qp6b5MgkGyU5pLu/ucTTWq3q7qWeAwAAwJJRPgcAAIyaoAgAABg1QREAADBqgiIAAGDUBEUAAMCoCYoAAIBRExQBAACj9v8BiIm+T0sSNOAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "plot_confusion_matrix(cm = confusion_matrix(actual, test_pred), \n",
    "                      normalize    = False,\n",
    "                      target_names = np.unique(actual),\n",
    "                      title        = \"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "      Attack     1.0000    1.0000    1.0000    220084\n",
      "      Normal     0.9795    1.0000    0.9896       286\n",
      "\n",
      "    accuracy                         1.0000    220370\n",
      "   macro avg     0.9897    1.0000    0.9948    220370\n",
      "weighted avg     1.0000    1.0000    1.0000    220370\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "target_names = np.unique(actual)\n",
    "print(classification_report(actual, test_pred, target_names=target_names, digits=4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0.0000, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000],\n",
       "        [0.0000, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000],\n",
       "        [0.0000, 0.0000, 0.0000,  ..., 0.3383, 0.0000, 0.0000],\n",
       "        ...,\n",
       "        [0.0000, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000],\n",
       "        [0.0000, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000],\n",
       "        [0.0000, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000]],\n",
       "       device='cuda:0', grad_fn=<CatBackward>)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "emb_num = emb.cpu().detach().numpy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('emb_bin.npy',emb_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "emb_viz = np.load('emb_viz.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 3.7198455, -1.7287366],\n",
       "       [-6.592858 ,  4.200667 ],\n",
       "       [-7.3762507,  4.031517 ],\n",
       "       ...,\n",
       "       [-0.6662593, 13.014032 ],\n",
       "       [-1.2662965,  5.859787 ],\n",
       "       [ 4.7889442, -3.0779557]], dtype=float32)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emb_viz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_umap = pd.DataFrame(emb_viz, columns=['comp1', 'comp2'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_umap['label'] = actual\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comp1</th>\n",
       "      <th>comp2</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.719846</td>\n",
       "      <td>-1.728737</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-6.592858</td>\n",
       "      <td>4.200667</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-7.376251</td>\n",
       "      <td>4.031517</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-3.057451</td>\n",
       "      <td>-4.969083</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-2.668613</td>\n",
       "      <td>-3.500797</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220365</th>\n",
       "      <td>-2.679775</td>\n",
       "      <td>-12.759145</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220366</th>\n",
       "      <td>2.871510</td>\n",
       "      <td>7.411801</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220367</th>\n",
       "      <td>-0.666259</td>\n",
       "      <td>13.014032</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220368</th>\n",
       "      <td>-1.266297</td>\n",
       "      <td>5.859787</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220369</th>\n",
       "      <td>4.788944</td>\n",
       "      <td>-3.077956</td>\n",
       "      <td>Attack</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>220370 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           comp1      comp2   label\n",
       "0       3.719846  -1.728737  Attack\n",
       "1      -6.592858   4.200667  Attack\n",
       "2      -7.376251   4.031517  Attack\n",
       "3      -3.057451  -4.969083  Attack\n",
       "4      -2.668613  -3.500797  Attack\n",
       "...          ...        ...     ...\n",
       "220365 -2.679775 -12.759145  Attack\n",
       "220366  2.871510   7.411801  Attack\n",
       "220367 -0.666259  13.014032  Attack\n",
       "220368 -1.266297   5.859787  Attack\n",
       "220369  4.788944  -3.077956  Attack\n",
       "\n",
       "[220370 rows x 3 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_umap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f54dfec4910>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "plt.figure(figsize=(8,8));\n",
    "sns.scatterplot(x='comp1', y='comp2', data=df_umap, hue='label');\n",
    "plt.legend(loc='upper left', frameon=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('raw.npy',X_test.drop(columns=['saddr','daddr','h']).to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_viz = np.load('raw_viz.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-2.1767569, -3.6114023],\n",
       "       [ 5.960733 , -3.7344134],\n",
       "       [ 9.069847 , -0.5271328],\n",
       "       ...,\n",
       "       [-5.4625006,  3.9939451],\n",
       "       [ 6.8652   ,  8.14912  ],\n",
       "       [-7.2472787, 10.231837 ]], dtype=float32)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_viz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_umap = pd.DataFrame(raw_viz, columns=['comp1', 'comp2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_label =  [\"Normal\" if i == 0 else \"Attack\" for i in y_test.label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_umap['label'] = y_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f54dfd9bd90>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Dhl6FTDJ9UNQfCAEJuhxBQIRMIiKRSFCZLYi6wO5zwHnFCwgICHyVkUrE1GQbGXEHKYjHUSuk6FW7l9GuVikAqM09sM10BL6aCMIuIPAJ1vY66Bjz4wtFKLJqKLOpyTUJrUgFpidTL4izwIGFIOwCAjuxttfJb57bzIaBZNsCiVjEX86ZKQi7gIDAVwYhK15AYCe2jXpTog4Qiye47Y12Wocm9uOoBAQEBHYfYcUuILATnmB0yrEBZ4BwND7N2QJfJZxuP+3jAXrsftRyCYUWldC3XeCgRBB2AYGdKLKqEYlg52KRY+uyyNAKNp9fZRKJBOuHvHz/4bV4Q8nJ27xiM/93bCWzCs37eXQCAnsXIRQvILATZRYNt545gyy9ErEIjq/P4pJDCsk2TW+v6vWHWdvj5IX1gyzbZmdkwvclj1hgd+gY9fK3t7elRB3goy4H28aEfy+Bgw9hxS4gsBMFNi0FNi3V2TrC0TgZOjk5uxL1YJRlXQ5+8sR63MEoErGIHy4uZ3GVjdpc45c7cIFPxR+JsnXUM+X48MSB5c0+7g0iFYuQIkIjNIMR+JwIwi7wlccdiNDn9NM77kenkFKXZ8D4BR+KNbvh/tU77uM3z2/GPbkvvz3Rri5Hj0ruIVMjQaM+MHqXf92xaWQcVpHBC+sH046X2PZ+o5vuMTf9rhB2b5hco5LqDCVazWffZ1O/kwFXkJXdTjJ0choLTDTkGZDLhMe0wJ4hfGMEvtIMOrx0jge46tF1+EJR5hSbqcnW8Y0FxWQa9m0PcYc/zNA0K77BiSAPf9zL8XXZzC6KkS/02N7vZJu0XDK/kFF3gBVdzpR/e4l17wr71pEJXt44wl/f2ko8ASqZhFvPauD4ejUikWiX7xsc99E24uUvb27l2uOrEItErOmboNPupzJLy4x8IclPYPcRhF3gK40jEOPOdzuozNKxoNTK222jbBp0s6bXRV1WlHzbvhNVi1ZOjkHJ4CfEPUuvYHnHOA25BkpsGiIxDyUZgrjvb5qLzPzhtAaG3EEUUjEVVjV67d41lxlwhbj9za2pnwORGNc/30K+SUXDp4izIxDhX+918JMlFYx7I/z6uU2p1xpy9fzulDpmFgjiLrB7CMlzAl9Z4vEEDm+ILruPQ0ot3Pr6Ftb0Ovlw2zjfe3gNbWM+Wgf3Xf15iVXL706pxaiWASCTiPjZMZW4AmHuvqiJtX0uLvjPCn7xzCY+3GbfZ+PYm3SOuNnY52R1t4Muu3d/D2evU5KhZUGZleYi814XdZh+z37MG8Lhi3zq+0RiKM/QoVZIueOtrWmvbRhw02n34Q5MbfUqIDAdwopd4CuLWCxCIhFxzux83mwZSXstnoA3WkYZ8wS46sgKZhXu/dWOQiZhbrGZ+y5tZsAVxKCUsWXEjVYu49fPbabTnsy4XtHl4OpH1/Hvi5sO6FXXtuEJOsYD/OXNdrrtfo6qzuCSQ4poLjowysEi0TiRWIxoLI5WKUMsPvDWJbkm1ZRyyRyDEttnlEtm6xQsqckEYNwXmvK6Pxxj2BXcbS96ga83B95fhoDAHqBVSGnIS7a7/CRyqZiNA27uX97N5gHXPrm/TiVnVoGZuYUGxGIRt7zWTkJEStS3M+YN0TPu3ydj2FsMecJc9chaWoc8BCIxXtgwxN/f2Ubf+P5fubcMunhmXT/fe3gtf3y1nQ87xrEfgKWFeQY5vz6xJvV9NGvk/O7UOmpyPz0Z06xTkWdSIRHDMbVZaa9JxSIKzCqMGtk+G7fAwYWwYhf4SjMj38TqbgeXLSxmZY8ztVJSSMXkGVXYvWHeax/j5Jk5ZLoDWPX7JqHOZtAglYm479LZxBMJxKJk1GBnNArJPrn33qJn3E/oEw57724ZY8gdIs+s+dTkr32J3e3lw20Obny5NXXshfWD3H1xE1bD3s9q/yIUZxjQKiXUZOtx+sLkGJXU5xp367MzqmS4AhEumleISi7h1U3D5BpV/OToCvQqKRn76LsrcPAhCLvAV56mIjPDDi//vqiZt9qSIflCs4Z/f9AJQH2uAV8oRjCW+LTLfGFMajWHlKnpGvNwySFF3Pdhd+q1kxqyyTcd2A9m7TQTD4NKhsMXZkXXOPNKrPthVNDrjHDP0q60Y55QlLZhD7W5evTKfROejsTiDDh8DLlDxOIJrBo5FVl6xOJPF2mbXotNv+dNg8qz9Nj0CvocAb53eCmXHlKEdPJWNYIvgsAeIAi7wEFBlllLlllLpl7Bf5d188dX24BkKPSMxjzcwQiJ+Jfj915s03HGrFxmFZjod/jJNCgps2rI1B3Y+6MlVg1NhUZW97hSx64+qpy/v72NExuyydIrKLJ+vuz+zYMuesb9yCRiCswqKrM+2ydgO95QlATTT8rkkn0XBdk8MMHTawd4fGUfNbl6mgvNnFAXZ8Y+zJMwqhUY1Yp9dn2BrweCsAscVNTnGfnWomKOq8ti3BdGq5TSNeZlXokVpfzL+7rX5RmpyzPiDYQRAZqvQNJTQ76JX51Qw9YRD05/hDyTivfb7WwadLOkNotRT5iiz7Fo/7hrnF88vZGOSfvW5kIT1x5fReNuerRHonEuPaSIm1/dkjqmkUuoytKhlO0bYR8c99Iy7KY6U8uDl8/FE4ow6Aoy7A6iHJqgMnv3JyYCAl82grALHHRUZRuQiEWoZBIi8QSLq7JQycGm2/vlTZ+F9isg6DtTZlWxoc/FHW9vxReKAXBYhY0uu5cjK217fL1Rt5/n1w+mRB1gVY+T1T1OZuSbkHxGWBugOlvH4ESA359ax6ubhsg2qjh5Rg5zi/ddtr5SIaXEquHRj/v40+vtVGTqOLEhG184yrAnRL4livpLnCgKCOwJwjdT4KCkPFNPeeb+HsWXjz8UZduYl4lAhAKzmkLLniWX6dRKmotM/OK4aobdQeQSMdtGvTQXmhER2+PxuAMx1vdN9RJY3zdBPBZFIv7sTO8ck5oTGnJoGXDxyxNqMKokZBv3bdLcqDvEn19vZ2W3E0iWLLYOu7nqyHJIiHB6Q6jNwuNT4MBEKHcTEDhI2Dzg5M3WETYPuJGIRfz4sTWs6nbs8XVqc43MyDNQbtOiU0o5rTGXykw1n+dxoVVImVM0dU+6uchEOLb7WfZmjZyFFRlUZ+v3uagDOPyRlKhvxx2I4g5GUCskwmpd4IBG+HYKCHzF8QQibBvzcsOLLazpdQHJcr87L2zkN89t4sFvzcO0h01xanMMRGIJFFIxYsCoklO+Gwlvwy4vrcN+2oY9aBQSarJ1HFObxYb+CVb2JIXymNpMZuYb0SgP3MePQiZGIRVPKf8zqGRk6BSYtEKCm8CBy4H7lyUgIPCZOH0+tgwH6Bn3p0QdIBSNc9sb7Vy+sIQJf2SPhV0sFtG4G259dneAbkcAgDKbmjV9Hr7/8JpUDX+uUcW/LpzJ9afUMOgKIpOIyTUqKc/U79F4vmwKjAquPKyUv+xk7zqvxExDnpFK64FdtiggIAi7gMBXlGGHl/WDyZX6uXPyp7zebfdTYFFj1uybBL61vQ4eX9XPE6v6EYtEXDC3gPmlljRjngFXgJU9E1y2oJjanH0yjH2CzaDh2LpMKjJ1dNi9ZOqUlGdoqM8zIpXs3R3MCW8AVzBGplaGWCJFvo8y/QW+PgjCLiDwFaRj2M14IML1L2xmxB0kdxrzm6OqMzCrpehV+8aKdGWXk0c+7pv8KcF9y7opsmrI1CkY8ezwO3cHPr0ByoFKVbaBqmwD0Wgc6TSWxV8Urz/IpmEfL64fZE2vi0XlVhZXZ6CUilFKJZjVEnRqJQpB6AX2EEHYBQS+Ymzqd/H+1jHUCmmqH3z7sIefH1vFP9/bhicY5fAKGxfOK6QkY/dC3j2jHnpdQUY8QfKMKkptWmz6XZcHhsJR3mwbnXL8vfZRzpmdzx1vbwNAJEru13+V2ReiDtA5HuS65zbRPpL04m8ZcrOsY5z6XANmjYwSm4Yco5qJQBizWk4wEsOslZNvUKLXfPmlmwJfHQRhFxD4CtEy4OKFDUO83jJCdZaOG0+t4/cvtXLne50srsrgplPrMWnkZOrklO3mPnbPqIfnNw5z25vtJBLJ9rM3nVbPmU15u/Y4F4uoyNDycVd61n15ho4MvRKzRo5JLecHR5ZRmbHn9qpfB3od/pSob2fjwARHVmXw17e2cuOpdfztzXYuXlDM/z21kU67j6YCI985vJRwLE6WXkmVTYVGLez5C6QjCLuAwF7E4QvR7wygkUsptKj36n5s69AEt725lTdbkyvlLruPj7ocfO+IUm59vZ2POsc5vMpGTZaOkszdt37tcQVSog4QiSX43QstlNg0NO3CHU4hlXBiQzavbR5hzJsMu2cblBxZlcHMXC2z8o3IpaJdJsm93z7GixsGGfWEOG1mDgVmDd0OHyqZBJtWQV22BoVi9zLPRyf8tI/66Lb70CiTxjIz8g/c9rjbke3iu7F9LvVW2yiXLyrhNy9sps8RoDxDyyFlVq58cA3ReAK1XMKNp9YxK99Ake3zWf0KHJwIwi4gsJfYMuxmwOlHJpGwedBNp927x77ou2JNj5N1fc6UqG/H4QujVUj53cm1NOQZyNDLydnDOu9RTyitfzgkm6w4vOFPfd+8Uiv/uqiRraNexCIRZTYNsyYnArW5CuwePxv7XSikYiqydgj8h9vsfOfB1fjDMWQSEWc15fGN+1fi9Cf34s9uziM8K5f5pbsn7Kt6J7jqkbVEJ7P25hSZ+MXxVcwq+HRnut5xD3Zv8p4ZWhl5li9XHAvNKhaUWviwYzx17PBKG+smqxsy9Qp84Rh9k1UHJ87I4a9vtqeSE/3hGL97sYV/nD+LXJMG2T7aMhD46iEIu4DAXiAQjtEx5sEfjnPt02sJx5L1zxfMLeDCuQVUf4F9ZqcnwLIOO4FIHJlEROQTXepC0TiNBUZmTtOcZMjpp3Pcz0QgTJ5RTUO+cco5uUbVlOtatXJsOgVrepzMKth129HGQvO0nu+rexy8sH6QFzcMkalX8r0jymjI0ZJn0bFxYAJ/OOlid0J9Fv94Z1tK1AEeX9VPbY6BPKOSfMunh/Hbhtzc+tqWlKgDfNztpHPM/6nCvq7XyRutI9y7tBuxCK44rIQjKqM05H15K/0ck5Jrjq7g2EE3a/tc5JlUjHlCPPJxH3qllEXlVhKJpMmPNxQlEotPaQXs9EcYmggx7guRZdj3Ifm+cR+DE0GkYhEVmRp0KqGe/0BEEHaBryXBSAx/OIpJLd8rfcYdvjCZOhVXPrQmJeoAD63o5bAK2xcS9olQjLV9LvodAc5uzuehFb2p12bkGTmk1EJ9nnHK+9qH3Dy/cYg73+0gFk9g0yn481kzOLQi3fO9zKbhptPq+d0LLXhCUWxaBb87tZYrH1yDNxTlqsXlHFpu2e3GJ2NuP8+sGeDByXHavWGuemQt91zSPGVVXJah49l1Q1Ou4fKH8YU/28I2HI3R4/BPOT7xKZn4kVicDQMT/OOdjtSx29/YSq5BhVom2e3chC+KXqWgsVBBZYaOUxuyaRv1snXUS80pevJMaowqGW0jE/z46ApueLEFmUSMRCwitpO6WzRyjGoZ8U+GXPYBq7sd3P1BJ6+3jKCQirl8YTHH1WVTl/vVTo48GBGEXeBrhc/no8cVZdAdZHgiSL5JRZFFTaH1iyV46ZVSOsaijO5U5rUduzfMluGJzx2SF4kSzMwz8lbrKEVWNT9eUkHPuI+KTB0LyyzU7qJXd7fTz98ns9MBxjwhbnyplSy9Ii00btOrOKs5nxKrBlcgQiIBv352E0PuZMb9jS+3kn9h424L+9BEmKfXDqQdi8YTdNp9HFYJ9bl6VDIJgUiMjQMTzMwzsq7flXZ+rklFkemzV4MWjZyjqjN4bfNI2vFCi3qX73F4g7y8cepk4tXNwwQjUey+8Jfae14zWY44u1jB7GJL2ms6pQRfOMb/LpuDKxjmuhNruOnlVkLROHqllKuPKidbryDHuOvfd28QDAZ5ZdNQ6nMORuL8450OSm1aQdgPQARhF/jaMDrhZcOgj2fW9BOOJjhhRjYvrBvghBm5ZBlVKKSfv15Yp5Jh0yooz9CydXRHprNIBPnmL3ZtUTzprX5klY3XNo/wRssIJzRk01xk2qWoAwy5glOObRnx7HI121RkZkOfi/P/swJvKJr2Wrd96qp4V8ilIswaOf5wIO24erIee36JhX9d1MQL6wexe4Ncc3QFP3tqA0MTQSRiEd9aVEyZTYNS+dklXblmDd86tIRgJM577WNYNHKuObqSEvOuw9KJRHL74ZMUWjS81TZG17gfrVJG3QFQpvfJ6MGEL0Btjo4BVxCTWk6WXk7WPhZ1gF5XmDdap5Y3rutzcXpj3j6/v8CeIQi7wNeGjYM+rnhgVWqf8o3WEW4/ewZtw26yDHKqs41f6PrVOQauP7mWa5/ZSM+4H61CyrXHV6FTiCn6AhGBfKuWhDjBVUeWc+7sAqQSETkGJVWfsYLOmqYOvSxDi0616z97tUJCkVXNpgF32nGLdvfd6yqz9Fx9VDk/eWJD6liRRU1Njp63WkcIR+MUmFXcctYMotEoUqmUZ797CK1DHnQqKYUmBVb97icANhea+f0pNYx4Qiikkmm3JXbGrFVwVHUmb7aOpiY5Nq2cI6tsDE8EeWnDMEMTQS6eV8i80i9v5b47GDQqmjUqmr/k++oVEspsWnrG0yd4nxYZEdh/CMIu8LUgGArz+uaRKclHT67u54ym3F2WHu0pC8qs3HlBI2OeEBqFFIVMRK7hi5mJiEQiCi169IoQeSYVSrkErWLXbnJtw25c/jAFFhVXLCrh30s7SSTAqJbxyxOqqPqULYGyDB0/OqqC7z28hmAkmSswu9BE2R7UootEIuYWmvjPxU20DnkwquXU5uj4y1tbeWty1Vds1fDH0+uZW2Jh26gHXyjK4ESAZWvGqcrSMa/EQnPR7vdbz7doPzPRbjtyqYQ8k5I/nF5Hx5gPmVjMjHwDv3uxhdYhDwAvbxxmba+Luy5sYsY0CYdfN7JMGi5bUMTKHgfuQDKaU5WpY8ZnTKIE9g+CsAt8ZdgyPEGX3c/wRIgsg4JCs3q3k9JiJICpCUYiERRbtNO9tEdEozGkk+H2mn0Uwt2djmLvbhnlhhdb6RjzUmrTcsuZdSwqt+IMhMkzqtIy2Df0OekY8xGOJSi1aVJCOr/IxH8vm0PXmA+NQkKxNemRHorGcPoi6FRSNLtoW+r1h+lx+hn3hQlG4yyqsDIjz8hDK3pTog7JGvzHV/Whlkl4edMQzkCERyftaV/cMERFhpZbz55BwyeEo3Uo+R3od/qxahWU2j5fzXqBSc1EIEqhRcWwK8RHneMpUd/O0ESQ7nGfIOyTHFJq5d5LmukY8yGXiCm1aWj4CvgFfB0RhF3gK0G/w8vTawb51/udqWPfWlTM+VIxxRmfXX8cjYtYUpvFk2sG0rKKz5ldgEIqonQ3rjEdq7odvNM2yto+FwvKrCwoNTPzM+qn9xXrep1c8/h6xn3J+vOOMS/ffGAN917SzKLJTPjOUQ+IkmVSP39qYyofwKSW8Y/zGzmkzIpaJWdeiYV5JTsSubYMTXDH2x283z7GwnILF80v5JDS9Oz6j7vGWdGVXNH9ZzJKYNXKufuiJtqG0kP7AKt7nMzIM1KTY+Dqx9alvdY+6qXL7ksTdrc3xGubRtI6rh1ZZeOaoyvQyaUU7MF2h0GjQCOXYPcm99blUjEiEVPq+RVCbXgKsVhEc5GF5iLLZ58ssF8RhF3gK0GPI8C/P+hMO3bP0i4OLbftlrAbVHJKzCruurCR59cNEo7FOWVmLlWZWnKNqj0qeds67MYdiqKQivnVM5toG0mu9JZ1jLO6KoNfnyCjeD84gfW7AilR347DF6bfFUCrkPDK5hH++2E3BpWMc2bnpyX5Of0RHlrRQ3mmGpsufd/U5Q/zkyc3olVI+c7hpfSM+1m6dRypWMycySzuTf0urn1mE5fML+TPr7en3mv3hrn+hc2cP6dwynjnFJtZum2Mk2bkpk22tvPJY21jXu58ryPt2NttY5zVlM/qHidnNefuduXBsg47P3tyA/3OZILfOc15XDSvkAeW96TOOaLSRp5R8GQX+OohCLvAV4KJQGTK/ng8Aa5AmHA0hnw3ss5LMvVYdQoaC41IRSIM6j0313i/fYw/vtJGy5Cbv583KyXq23m7bZTLDin6wsLeOTpBjyNEp92LQZlsCDKdEczOzMwz8NrVi3inbYQ/vZZ0KBOLwKqRs3TbeEpwVXIJLdOsoNtHvLgDMT459N5xH8PuIGc353PLa1tSx1/aOMQ/z59Fba6RfmeAbaPetBr+7Wzod3PdiVpOqM/mpckys8pMHWc05nHO3R+RZ1JzdE0mr7fsKFnL0isptqYn0AXCMULRqdf3hqL8Z2kXTYUmOsb8FFs+fYtmZMLHk6v6U6IO8Niqfv527kzqcw20DLkptmioydGllQUKCHxVEIRd4CtBnlGNTatI+ZJDsoY5z6hGxO6vtvWfQ8y3s67PyY8fX4fdG0YmEe1yWz7xBTfsE4kEa/s8/PTJ9anJzOwiE784rmpacR93+1nT7+Y/H3Qy5glzRlMeT31nPuf+ewXfWFhMeaaWm15pS50/NBGkxDY1bH1kVQZ5hqnZ7wqZhFNmZPPgRz1px3vG/Wwd9VKba0zZmRqmaRFbm6Nn2B3kuLpMzm7OIxCJYdMpUMsknNOcx70fdnPrWQ2UZ2p5r32M2hwDp87MYdYnnPRyDErqc/Vs3CljX6uQpjKzNw+5+fvb2zimNosfHFlK3S5KAT2hOJsGJ6Ycf3+rnRtPq+OYGhsJPt/E77PoGHUz4AqiVUipzNCg2U/ObQ5/gHA4TtYe2g8LfDUQhF1gWtb1JhOrJgIR8s0qSq0aSj7nPvTeoCHfyJ/PnsEfXmmldchDdbaOnx9bRYZO+qV5ZPc7A9gn/dMjsQTZBiVVmbq0VfuRVRlfuASobcjNLa9tSYtQrOx20mX3TyvsG4e8qcYgALe8toWrjyrn1asWoJBJMKjkZBtUbOhPilksnmDzwATfPrSE/y7rJhyLc1xdFsfUZqYar6zpcbBlxIvTF6Yhz8CsAhP3L++Zcu/t1rBZegXH1mXx4bZxrji0hP980Ek8ATadgovnF/HellGeWD1ATbaOG06tTTWXuXBeAQvLrYx6wswrNnNmUy4SkYgBV5AtQ24qs3esmMuz9Fx3Yi3/er+DpdvsVGXquHpJBasnO8ypJuvkX9s8zIkN2Slh9/sDbB7xM+wOYdXKqc3WsqDMOqWz2qwCI3KpZLeiP5+Hjzrs/OypjfQ6/CikYn68pIKjqmyUfklOd9v5oH2MR1f2MugKcuKMHOYUGan/Eq10BfY9grALTGFjv4ubX9vC8p2aU/z+lFqy9HLUyv3nDb2o3EqGbiaeUAStXIaEGDb9l1dHa1DJEItICe4DH3Zz3Uk1fLDNzoY+F/NLLcwvsVC4m2VXfn+QYV8Eq1qW1l87FI0z4plqLuMNTW8s0zLoTvNKl4pFSMQi3m630233M7vIzPlz83l3y2gqlL2qx8m3FhWzpCaTaDxBjkFBgUXLyISfnvEAG/oneHvLKMsmvwPPXDmfc2cX8L+dVu0qmYQSW3LFl2tS873DSul1+hn1hPjLOTOT7nLRGOt7J3hiddKJrmXIw6g7OTka9wZ5ccNwKiEy16Tk+pNquenlNrrsPkptWn59YjWHV2bg8Udw+sM0F5mwaitx+EqZCET4wcNrKM/Uc9vZDdy/bMfYds41eGurk188vRHvZF7EtcdXc0J9Nq1DbraNeplXYqEmW8+MfeigNuDw8PuXWumdtL8NReP84ZU2SmyaL1XYl3XY+fZkAx6AtX0urjqyjJpsPRLJvpnQCHz5CMIuMIUuuy9N1AH+/EY79XkGZuTvP2EXiURUZe+/Pc9Co5LLFxbz7w+6AHh+4xDVuXrObMzh/Dn5KKVgm8ZYZdOAC384hk0rT+29f9w1zqMr+/i4y0FzkYnzZhcwdzILPc+UbH+6c3mYWASl04TPAZSy9AfypQuKeGxlX2oP+X8f9XDbWQ3ce+lsWobcSEQiKrK0GFQSKrKMqfet63Xy8Me9PLm6n3giGX24bEER933YzRUPruHei5uxaOU8t26QIouayxcWk29KTkhk4gRLO+zc/OqOPfgzZ+XSWGRCrZDwoyUVrO1x8m77GAArOsfRKZIJkNv56dFV/OSJDSnTmI4xLz95Yj13X9TEA8t72Dzo5qzmPDrHfDy6si/1vjW9Tg6tsLJlp8hJwaTz3NpeJ79+blPKSS8UjXPDiy088I05/OqEat5pG+OZtQM4fGGKrBqkEqjcTaOitiE3Y54gOqVs2gY8OzPqjbJpcGpeQ68jgD8YQa3ctS/B3qJrzE37iCcl6tu5f3kPx9VlfaF+BgIHFoKwC0zBE4xOOeb0R1KGJQcjmwdd+EMxovEEuQbltKVTBTYdp8/KpanQxPBEkEyDkiKTitKM6ScbLk+I9zrs/OHlNobdQZoKTfzfsZXoVVJ+8fQmOsaSoeB+Z4D1fRP87dyZ1OUZsepUfPfwUiQiEW+0jpCtV/Lz46oY94a46aUWDq/K4JCdHNFqcvRp+QdahTQtMQzgdy+18r9vzOFbi0p2+Rms73fx+Kr+1M9vt43yjQVFWDRyHL4wCRHMKTKTSCRoG/bwRusIp8zIIdcEmwe9/G0nX3qZRERtnoGbXm5LieoxtZl8+9ASRjxBfv70Ru68oDEt0hCKxKbY3dq9YT7cNs6z6wYBWN3jonMsPYQO0OdI1rW7gxFuPaOBcpuGMbcfo0qCy59+zeQ9Ezy3bjA1Seu0+1jd4+TOCxqpzN7lR5RieYed3zy/mfYRLya1jF+fWMMhxUayTNNPvvRKCYUW9RTnNqtWTiAa58uIO416w4inqf6QS8RIxEJZ38GEIOwCUyi2aqa08VxUZsGq3feriv3B2h4Hr2wexh2IkqlXYlDLaApE0oxPtgxP0O8MMupOur8trrKSP03/7nV9TnrsftzBCCVWDT9+fH2qbGt1j5M/vNzG948sS4n6drrsPnocfuom67abCs3cfLqK7zlL6Rzzcd1zm4nE4lw8v4i73+9AKhalSs1m5Ru547yZrOp24vSHydBNjar4QzFicfD4QrSOeonGEuSZlBTstG3wUadjyvtW9TipzdFjVMuJRON884FVaSu+cW+YbL0CfziWdnxJTSaPr+pL85x/bfMId5w7kx8/vp5oPMH7W8e49rgKbnolma2vVkjTtjogua2ws/hvHpxgYZk1rVQPYHF1Bmc15SGTiBn3hVi6zcGLGwax6RT897LZ/OeDTpZuS0ahJGIRBpWch3fqkgfJ1fzWUS9HVmemjrUOTuCb7AK43etgy7Cb659vSe3RO/0RfvLEem44pY5ck5/DKzOmfI6lGXp+dUI1Vz+6LtW17qymPPJNakzq3bfr/SJ0jvooNKsxT07UtvPtw0qoyNp/+TMCex9B2AWmUJ2l4W/nzuJPr22hx+HniEob3zmsFL3qy3kAfZl4QxH6XAE0cinvtI2lBOPQcivXHldFVY6BbaMeHv24n/uWdQNJt7rfnlzLyfVSjNodzUTW9zr502tbUvvSVx1ZNqUWe22fa5f2tZ9sFBNNJHhgeS9Prdmxir7zvQ5+ekwlW0e9KWFXyCTML7Uyv9RKIpFgecd4qnvads5qzkMjE/GP9zu5d2kyYe7QChs/PLKMpiIzW4YmqMvV88qm4bQxlGdoydQrOao6g82D7ilh3Jc3DvGNBUVkG5TU5xrYOJBM0CuyaKZcC5LGM9uFesQd4luLilne6eSjTgftQx6+c1gp/3x3R6361UeVMafYQq5JRSgSp8Sqptfho8tuZkWXA4VMzK2nNyCXinl6TT9WnQKTRsGNL7WmrvHKpmH+dVETS7eNI5eIufaEKnyhKFqldEprWJU8+W/g9/t5v2OCG19ppc8RoKnAxM+OrWRuiYUxTygt7A/JyciQO8jvXmzh3ktms6B8qsd8VaaGey9tptcRQK+UkaVXoJCJEYu/eNvg3cGmU/B++xh/PmsGyzvHGXQFOKLSRvWXUNIXDIUZ80WQikXoVXI0CkF69iXCpyswBZNWxZHVcoqsakLRBAalBI1Sjm2aleBXHX84xoDTT78rkLYKfH+rnQVldiLxOOO+SErUIelOdvMrbVRn6Zi9k7B32n0pUQeQTiPgZo2cDJ2cExuyeXHDjtahx9ZmkmdKN0MZngjz+uap4ugJRnbZlEUkEnFImZW7Lmrkvg+76XP4OaE+myOqMtg45OGu93aY/LzfPkaBSUVVpoZ32u14gzEqMrWplWieScW5cwqosGkwaBR0jPmm3E8jlyIVi6nM1vPrE6v5+9vbWLrNjt0bYlGZlfe32tPOV++UD3BEpQ29Ss5Np9Yx5gtjVEkJhhPMzDcy4g6SZVBi0ci5+dUtrOpxEosnUMkk3HVhI384rY6JYJhAJEGfw4/dEebkmbmMuQPc9ta2tHuGonE2D7q575ImVHIZZRlqVve6uHpxBb94ZmPqvGyDkurs5Mp143CAHz62LpVsuLrXyfUvbOYvZ89Eq5Ri0chTCXo2nYLGAiM5BiWhaJwOu3daYc+36Mgza8nQeYknIMeoTk0k9iaBSBSPP0QwmkCvEGPUJgP9Vq2CyiwdL20YpC7PwCElFswaOTX7uO3qmm4Hb7eP8cbmEepy9ZwzO59Cs4pMg9BAZl8hCLvAtMilks/sHnagEIvFaRtxE44mEIsgR6/EZth1286dMavllGXoeH791P7c6/tdWLQKpNOsqHzhGM5P7N1+cn948+AEi6t3JMGJRPB/x1ZSlW3g8oVFHFJmYcuQh/JMHTXZuimft04hpSxTy9peV9pxvVJG2S4S6bZzWEUGlZkavMFYqvXnC+sHp5z3zpYxLphXwD0fdGH3hTh3dj7H12eTSMDMPCOzd2rEUmrTUJmpS1utfv/IMnKMyQnfnGILN56mYNwbweELIZGIGXEnV7cKqZjLFhRh1crJN6u44tBSyjM1yCRisk1qsk07HvIVk+K6psfBqh4n2QYVVy220jbk5pVNw9yztJs/nVHHiCfBv97r5L3JhDyZRMRfz52Fdhofe4lIRK5RxZg3TPe4H4NChlYm5a4LG1nV7STToKQmW49ycjLWPe6bYobTOuRh2B3isEobvzyhmp8+uYHz5yS77X24zY4IEb86oTpVdjcdIpFon7oS9jv8uPxhHP4IbUNuJGIRNTl65pdamVlgQikTk2VQpux+P63t796gZcDF3R908erkBHXLiId3t4xx36XNgrDvQwRhFzggicUTOH0hlFIJ2mlMT3Zmba+TtX0u7n6/i0g8zqXziziiyrZbzUGkEjG5eiVziy1TmoAUW7U8s3aAa4+rRCEVpz3oC8zqKXvZhRZNmt/4a5tHuPqoMs5qymPUHaLQqqYiI5k1P6vAzKzP8JQvsmm5anE5P3xkLQvLrRRZNPjDUeYUmaZ0Pusa8yKRiCgwaxiZ8OMLxdCpxGn9vKerr6/J1qGSiYklEiQS8MjHfTQXGrlofhFxErQMTqSa2jQWmrnxtDo2D04wNJFMBlRKxaztnaDAHKYy24BOLuPOVZ3MKjDy4IpeqrP1HF2bSSye4OWNQ/x4STkPfmMORoUEg27Xk69NAy6ue25zWib5ubPzqc7W0etINq7psvtSog5Jb4E/vNLKTafVc9E9H6eOq+US6nP1fO+RdWwd9ZJjUPKrE2uQi5Ph8XA0zg0vtTLmSda5/+H0emzTNNzRKaRoFEnhP6TUyJPfmcdDH/Xx5ORWSfuIl2Wddu65+MtuqroDbzDKqDfElQ+uSX1fdQopd13URJZOTlW2gardSA78PPj8ftYPJU2LpGIRFRlaPMEor7WkR53GfWF6HH7q84x7ZOUssPsIwi6wV3G4g7iCEUQiKLJqP9cfrn0iyLg/SJ8rlMp2LraoU4llO9Mz7qXb4efGl3c4q/3lra0Y1DLKrWrUu+HsVZNn5JR4gnW9Ltb1uwA4ojKDcW+IXKMSsTjBn8+awQ0vtTDiDlGWoeUXx1VRYE4PnVdkqvnDafXc8toWxn1hFpRaWFhmm7b96IrOcTrGvMilYsps2l2WSx1aZuWO82bxp1fbeG3zCIdX2tL2ZDf2O2kZ8vDM2gEUEjHnzimgc8zLSxuHOaY2k0VlVhon7z8r38jMfCPr+pK/o1EtY26JhS3DXr61qJibX93CCQ1ZNBea+dUzm/CEolRkavntybXMn8zCby4y01xkZm2vg98+38K6SdOb2UUmfn5sFcVWDePeMBKxGJc/wrN9yfr1UpuGC+YV8vz6IZ5cPcCZTXlUZ2uJxqDPGUAkSoa0ZWKQisV0jvmmlIc9ubqf7xxeSjye4LWWIeLxqd+tPkcAtVzMn8+awWubh8nQKTi+PpsbXmpJbbUMTgT58ePr+O+lcxj2RLjmifWpRFG7N8y1T2/i3kubOWlGNi/sFMm55pgK6rKSkZIsg5Z+xzjPrBtIu787EKVn3M/s4v3TKCVBnKdXD6RNQj2hKG+1jnD6rBw+3GbHppXvE6vcVf1Jo6TteRg2rZzfn1aHTCyeYjUsFYsFUd+HCMIukGLA6aV91J9q11meof1Mf/KdaRuaYH3/BPd92E0snuDSQ4poLDB+Zn2sy+tj61iQEU+ITJ0Co1rCyp4JfvvC5tQD95iaTL6/uIz6T4QORYjS6r238+KGIY6pydgtYQeYVWDi+pNrWLrNTiyeYE2vi5c3DXHLGQ1EonB0dQZ5JhUufwSjRkaJWY1ek37tXJOWc+doqcvRE4jGyNYpybNMrWt/v32MKx9cnUrcKrFq+NOZDdNOANb0uvjuQzselm+1jjLmCXHbmQ2UZelpHfbwf0/t2Cd+f5udv503i5YhNy1DbsY8IWw6BfkWDRKxiJn5Bo6otBFPQCQW5/Y32vnhUeUcWm5lRr4RvULKOf/+CF8oeb/2ES9/fKWNW85sSIlBMBLjjZbRlKhD0hlvWec4TUVmjq7LYkXXOCfPyEmVwJ07p4CbXm5NRTPe32rn0W/N5fcvtbJp0I1IBCfWZ3PenHxG3EGCkam2vNF4gkKzOpkg2Gnn1Jl5/ODIMqQSMb3jPp5aM8BhFVaUUjGnN+ZyRlMeAG+0DE+JxgQjcVb1OLBpFWnVHwBj3hDDE0GuPLSEY2qzGPeGKbSoyTepUO5k0CQSi5BLxATi6Ql4o54QKzrHU74EXyZyiWRacyO7N8yvn2thbZ+LpsKkPfGe9Lv/LEYn/Dy6si8tuXLMG0arkHF2cx4P7lSBUJGppdS698LwkWiMpdvGeWnjEPF4gmPrsii3qin+kh39DiQEYRdIsabXzQ8fXZsqNyrP0PLHM+pT9p+fhj8cpX3EmyYyv3x2E7ec2UA4GmfGLlakIy4PSztc/OrZzQQiMRRSMXdd2Mhd73WkPXBfaxnh5Jk5U4Rdq5CQZ5oa0s0xKlnWMU5FZni3e0bPLDARicfZMuxlcXUG588pwKCSpd7/WSYk25kusgAQisYIhKK8sG4gLRu70+5jba9r2gdtl907JRN9Q/8Edn8YhcPH4yv7015LJODDbXaaCoys7XNh1sp5eu0Aq3udLK7KwKyRc9sbO9qe1ufoyTaouOy/qxj1hDi+Lov/XjqbB5b38PKmYWLxBOv7J/CGwqzvc9Iz7kevkmH7RPLevBIzkWiMQZefxnwjoUgcg0rKNUsqWNntQCyCv54zk3AsjicY5YlVfTy/fjC1Kk8k4IUNQ9TmGqjN0TLujU7pDbCkOhOjSsbNr7bxg8XlfOP+Vamqg+ZCE1cvLmdBmYUiiy5tNWhQyaZUCUAyk12jlE5p16pXSjFr5fzlrW2pxjSzCoz88vjqtPdX2TRcvrCYv7+zI1mvyKJm1BPizvc6yDUoyNtNF8I9xROIIJeJp1RSSMQiTp6Rw8puZ/pYs3S8uGG7F4CTf7yzjZ8dU4lBKSHH/MXHGIwmGHJNnVBsG3GzqMJKtlHFlmEPpRlaFpRaqNiL+TtLt41z+f0rU8+tZ9YNcOcFTYKwCwi0j7j5y5vtaTXEW0e9bB3x7pawy8XJ0qdP8ty6Ac6bk49ZIyN/modctyPEr5/bnHrohqJx1vW5phisAFOS1QDMWiVHVGXwxOr+lBGJWi7hxIYcvv2/1fx4SQU5ejlWw+41u5hdZCFTp8AdjKKWSfbYHz8ajQJipJ/wr1/X42TIHWTYHWReqZXF1ZlpWdf9zqRxSdeohz5XgIlAhDyTGr1y6p+oUiZGLpGQSCSm7Rcul4rxhKKcN6eAlzYMpbLZ32+3c+rMHA4pMbNssmb9+4vLueqRtYRjcX68pILNgxNc9t9VVGZq+dUJ1fz1ra1oZBKCEbj6sdWMepJCe/KMHH5+bCUfdzs5bVYu7kCEXoefc+7+iEKzmpNn5BKOxjiqOoPF1Rk8urKP37+UXLEXmNXccEot1z2/ecrYO8a8HFFp5XsPfcStZ83g+fWDtA55OKLSxkkzsnm9ZYRfHF/N9S9sTislXNXj5JJDCqnK0qP5xGdWnaXlJ0dXcMNOJXBnN+fzfvsY7SNufnRUObe/uZVEImnWct2JNfQ5/Gnd5tb2unhl0zDFFjUWXXILRqNWcGxdJoUWNcu2jZNpUFCRqaPP4ceoNtLnCjLuj3xmrseWITfd434GXQEsWjlFFvUuJ6MjEwGeXjvAk6sHyDeruGxBMYeWW1MTmSKbFncowi+Oq+T+ZT1IJWK+tag4uZrd6W/73fYxmgpNiEUiDi237nIyurvYtDKOrctKbfNsR6eS05Svp8CsZnGlDYtGim03/xZ3l+fXD6b9bokEPL2mn/pcPbmmr2eCniDsAgCEInGGJ6bzJ5/qQjcd8Xgck2ZqCZZWKePF9cOYNYpphX3UE56yIl3XN8H8EjPLP2GYkj/NyhxgdqGJuy9qom3YQzSWIMug5ObJbmavbR7miEob1j1YIBR8jlXWxn4nGwfcvN4yQr5JxbG1WSwotwEw6vbT4/Bx9wddbJ5coS6pyeBv583kiv+tAaCxwETLwASPr+7n/uXdJBJgUsu449xZnFyfzfM7TZq+e3gZ5VY16wcmuHBeIR/uVGInl4iZU2Tm/mU9HF+fPaVE7bn1g/zrwiaOq89GIZPgDkQIReMcVZ3B++1jrOpJrvRW97poG/bwzUUlHFubQa8zyI+XVKCQinmzbYTn1w+yqLyBU2bm8I93tlGdreeZtcn95j5HgJXdTr57RBk/fmIDfz13Vlqf816Hn3uWdvHtRcVc+2y6uFdkaHH5wriDUa7432pOqM/i7OZcDi23Up1jxB2MIgIGppn4eYNROu1epBIxmXol1skEuGA4QlOhifsubQaRiPZhN++221O/64kNIu69ZDYOX5gcoxKTWp62Ct/OR53jnDs7PyXs4XCYcV+Y4YkgpRkaKjJ13PRyK92T7nJWrZxfn1BDlkFB5i56Grj9IV5vGeHPb+zoYX/qzBy+faiI6hxj2rnxeIL/LuvmzsmSxY4xL8s7xrnnkmYWTn7XABryTFRYVRxWYSNB0vzok+ZDJVYN20Z9PLtuALVcglIupmwXDoq7g0ohZ26xmSsPL+XB5T3IpGKuPKyEmkwdVr0G6z5cPEemaRUcjSWITXP864Ig7AIA5BmVnDgjh8d28uAWiZjSE3tXyOVyjqvL5pm1AynrWblEzOwiEze82EqhVc2cYguST5SO2bQK1HJJmriv6Brn/svmEHy1jbW9LoxqGT8/topsw/T75TKphFKLmhWdDm57sz0trJprVOEJTN88ZW8RikR5r93Ora/veDg/v36Iuy9qYm6JheGJIEu3jadEHeCNllEOLbdh1si4bEExFRlauh1+/rtTvbzTH+H3L7Vyy5n1VOfq8YVi5JlUVGfp0GkUZBmUfLimn7subOSt1lFUcgmLqzLoHvdyRmMuRdNkwScSsGlwgjvfTRrdFE3mANTk6LnjE/XfvnCMYqsGuy/Cr57dxNjkav20WTlcODe5F766x8mRVRn8+4POtPeGonFi8Th5JiUDznQbVUiusK9ZUkG+SUXfpEgvKrfSWGhCBFy+sIjXW0bwBGNUZxtSIreo3Ebb0ARHVmXyZuuOFbVIBOFYgtP+uYzZRSZ+uLiCRCa4/UE2DHq44cVWHL4w2QYlPz+2ik075Qf0OwOISH7Xr35sHUqpmDOb89J8BgCaCo2Q2CEWyzpdXPG/1YRjcQwqGWc156VEHZL72m+1jVJoUe1S2NuGvVMmEc+uG+SEhmyqc9LPHXAFpnTYC0XjtAy5qcrUYtXvmPgqlUqqspX0O73kGlUcUWnjnS3JCgKFVMwFcwu5+dXk5PfptQPMKzETDEdRTlMquLvMKjCRZ5RzfH0WMrH4S+vrcPKMnCn/VqfMypnWFvrrgiDsAgCYtErObs4jHk/w/PpBMvQKfrykkjLb7ofNmnLV3HvpbJZtG8cfjmLTKbh7snPXR50O/KEIuk+41xWY5Pz25Fp+/dwmgpE4CqmY35xYS5FZwe1nzmDEG0IpE1NpU6FUKqe7LQAWvYp5pWYyVygZdicjD1qFlJNn5jAxjff93mTrqJf/7NTMBJI17VtHvcwtsSASi1n7iRAlwOZBNw9/cx6lVhUymYyVPU5m5RtJkKyhTySSdb/dDj/H1WUyEYiRa5DRNR7khfUDSCViZhdZuPX1LcilYmRiEbMKjJw5M5dLDilhY7+LIos6TWyW1GTycZeDSCxBJJZg0OXnwrkFRKKJafeh800qbnujPSXqAM+sHeTmM+pRyaW82TqKPxxDo5BO8WSXScSc0ZhP1jSeAg15BvyRGHde0EifM4BcKsaskdHvDHLSjBzqsg2c05yPRS1DJAanN4hJm/z3r8o28J3DSojG4ry3dQyrRsHli4p58KMe4glY0eXk/57ewN/OnUUgEuPnT21MbXkMTQS54aUW7jhvJi9uGCLXpKY6S0eOUcm6/olU97XmQhOHlu8w2CnL0HJ0TVZqoptIJHhyTX8q29umU9DnmBpF6LL7PtVZzhuKTqmXB3BPMxkVkzQE+mSEKxZn2msARMJxHL4w31xYzCkzc3D5I7gCEe56ryP1HqtWzm+eayHHpOLkGdkYVTJm7WL7LRiO0TY8waZBD6t7HFRl62kuMNFYaOKDrXbu/bCLbruPY2qzOCYc3aPk289LVaaGuy5s5LGVfcQTCU5vzKPU9vUMwW9HEHaBFE2FZoosSi6eX4hMsuczbo1GQ4kJek1Kbnq5DfdOgnpIqQXVNKuBHLOOQ0Tw38tmM+oOkalXUmJVYNMnZ9tFGbs/655dZOGO82bSNuwhGImRZ1KzddjN4VVTvbv3JolEevLVduKTB7N0MpoLTWz7hL95fa4h9RkPOLzYdAr0Khki4Nrjq3liVR9yqZitwx7KM3SYNGJW9bj58RPr8YdjiERwwdxCjqjKoNSmpSZbRySWoMMRoEGtIEsv45YzZ/D+1jFWdjtoyDPiD8d4Y3LvWCIW0TLooSHfSI5RiVYp5ZbXdnRnO2VGNiOeIOt3Wt1ux+ELsyhbz3lz8rnltS1cPL8wbcVfaFFTnqHjJ0+s55/nz+K0WbmpUH2GTsE3F5ZwwT0r+NnRVby8cYgNk1a0Vx1ZBoBMJsYViLCiy0nHmJfaHD1lNk1KcJqLzFx/cg1OfwSXP8zVj61PMwjqcwQYcgcJhGNTRM/uDROPJ7jskCI67T68oSgTgQh6hZgZeQaOq8vmydUDHF5p44pDS3AHIuQaVYz7wtzxTgc6hYzSDE3aNlXPuI8TG7LxhSKcO7sAfySGWiZh3BvCOs0W1XZKbRr+cFodr2waTk0itAopBeapE+pcs5ofHFmWlpuQbVBSaFFh+ITXg9sXZJs9wMMrenhyTfJzN6ik/OP8Rr738NrUZyWXiFlQZuWGF1sp9WkosqixqGWo5NMbVA25fDy0oo8nVk8mba4dpCFXz81nNKRVevzr/U5GPSFyjQoy9/Ke+icpsOoosOpoKjAQjUO28est6iAIu8AnsGjVWLSf/w8jy6yhKivEvBJLKvlodpGJxVUZ01qsAuSadOSa9o4b15xiC2q5lBF3kHAkxtF1WVTvpQzcvnEvE4EoVq2MLOOOh5VCKubbh5Xwp51aluqVUiozk7+TTa/hjMZcVvc4U7XUi6syqM/V0z/uYcgTZsQd4vsPr029/932Ma4/qYZ4AvzhCC5fiFhczvUvtKRWbIkEPPhRD9ccXcHPntzAH06v5+dPb0SnlPL382bxwvohnl7bT6FFzVVHlvP8ukHebEuWBmbqFbgDEfItan717CYAnvj2PH55QjUObxiVXEKWXslDH/XSWGCcYg1bbNVQl2dEKhHxf8dWsabXyc2n15GhV6FVSJCI4H8revGGolx830r+c3ETx9dn4fRFkEtF/N9T64nHk21bbz2rga5xHzatItV9bHWPgzvf7eSdLTtKGc9szMUoj1OcnaypL7JqGe924A9P7QonEYvQK6RoZJIpWe8qmQSdSs53HlqTStK0aRX89byZXDy/kGue2JA6N1Ov4N8XNdE+6uUnOx3fbnLz7mR4OxJLIAYWV2dyzRPrCUXj6FVS/nh6A1bd9JGm5R12/re8h42DEywotfLPCxr525tb+dlxlcwunn6l21Ro5NazGvi4y4FZLac8U0uuQYV2MhLWN+ZhmyPAsCuAJxRNiTrARCDKz57awN0XNbGhf4JYPEE8keC/H3bxf8dWsmXYyxutIxxdk4k3FJtyb7s3yKA7nNa7AGDDgJuucf8U3/3n1w9y4byCfS7s27HtYrvj64gg7AJ7nZkFZn5xnIwL5hUSj8cpMKtTnbG+DOpyDdR9Tv/rcW+ALcM+Rj2hZGOTbB1qlZzlHXb+9X4nG/uT3cUuOaQQ8WRb1cdW9nF0TSY3nlrHK5uGyDOpObEhO62OuTJTxx9Pr2fAFUAhlVBgVlGdY2Dp1jH+/UFnqm2mTaeYTGzysrLbSWWWjvkllpSn/WULivjHu9twB3asFoORONF4gj6nn1g8Qb5RzQfb7Dy2KpkvsW3Ux1WPruOv585gdrGZWDxOIBLn7vc7+caCYhRSMWc1J2u+b3ypFYlYRCye4AdHlvFhxzi/OK6KfmeATrsPsQi+saCY8gwtfXbPpJOZgXnFJlb1uLj9zXZi8QRnNeWxsNzKM2uTJVbffGA1P1xczl/f2lFqB8m98dc2j/Dwx72o5RLuurCJWCxO+4g3TdQBnlwzwMWVcWIMIcmuB0CjkGDWyDinOY/Hdmo5e/nCIjb0T7CgzMwPjijjjsl6erEIfntKDcs67GmVF2PeEC9vGJrSNW7EHaJlyJPWmAaSJjf9Dj8/P66Kp1b3Jz0CCoxcet+Osit3IMp1z23CommkZchNkUVNiVVDoVXLuj4nVz+2jhF3covjUUcfW0e93HHeTMo/xTymNtdIkUlFdbaOaDRBrlmBdXIiPujwsn7Qw9WPreN7R5QRmyaMNOgK4gtHOaLKRtuQm+8/so5vLirmvg+7UxUPmwbcbB50Y9XKKLLu+LsNhGNEYvG0DPTtTJfAppJJkIiEdrD7A0HYBfYJxTbdPvXE3heMeQI8u3aIm19tIxpPlpL94fR6yjM0/PDRdakH33PrBxnxBDm8wsY/3kk+8B/+uA+FdIAHvjFnWmOSV1uG+dmTO2r8Z+YbuOWMep5dN4DdGybXmOzB7g1FaR1yc/LMHCoytDQWGnl10wh3vL2NWDyBQSXj5tMb+MfbWzlpZi5WrQKjSsqZTdmUZ2ipydFx8swcHlqRnmR1ZlMeg64g72+1U2RWk2tSk0jA8fVZLKqwEo8n8AbDLCq38sHk6rx9xMvMfCO3vr6F02blceKMbOpyDIRjcf67rJuKTB01vghNhWY2Dnr40ePrU/fbPNjCTafV0ZBnYMNkKF8sSkYydt6iOas5ny3Dbk6dmcuqHgf3fthFuU0zZR95OxH3MGJJELLraRuaYMuIl95xH6c35nFImRW7J0S2QYXdG+S651u43TCDIyps1OUaGHUHyTQoKbKoeau1fcq1W4c9mNRT7YtD0XjanneWXskJDdnkmFS8vH6Quy9qBESs6nFOET27N0y/K8BvX2hBJIKbz2ig0Kql2+5Pifp2Vvc4GZoIfqqwQ7LMrlY9NZG00xHgnS2jROMJRCKQicVT2t5WZ+nI1Ckoy9ARjydoKjShkUtT3+3tvN4ywsXzC9OEPdugIhCOsbDMkmqBC8noRbFFQ4lVQ6d9RxXGdw4rYUb+V6PfxMGGIOwCApO0D/v446ttqfroUDTO9c9v5o+nN0x58GXolDy6UwXB9vPfaRvFFYiwqX+CPLOKikwdSqmYW15NF5J1fROMecO0DHpoGXLzk6MrufX1LanM+ZXdTg4psVCdref2N3escicCEf7wShs3n1nPr5/ZRJ5JzaJyK7PyLby2eYRTZ+QmQ+fto6mkuZrJffybJ7cKlneMk6lX8PC35vK3t7fxRusISqmE7xxWwjVLKlDJxGQZVFi1ci5fWMRDH/Xy0oZBfri4jJc3DvHsuh3NZA6vtPHrE6pT5ic788qmYX52dCVXPLgai1ZOVZaOOy9s4rXNw/Q7/RxZlYlOKWVDv4u2YQcLy6zkmlRMBCOU2rQUWtT07JT4V52lJUs0AB4nwxNeRtwhYvEEWQYVyzrsPLN2ELs3lJoUiEXJNqxPrennm4uKKTCrsWhl+AJRzmzKozxTRzAS47GP+/CEoswrsRCOpk8oZBIRZRkazp2dz13vd7Ko3Eptjp6HPurlgeXdnNOcjzcYoz7fyIArMCXsb1LL2L5mTSTglte2UJ2lQymbupIVi5L2un3jPvKncSz8NBKJBKMTwdTEYtAVZHjCz0+PqeQ/S7sY84SoydHz6xOqU41fKrL0/OakajrHplYtSESiZPLmsJvKyYmGVCLGoBBx9VEVVGcP88FWO/V5Bs5ozKMh38jNZ9Szrm+CPqefpgIT5Rmfz1Ja4IsjCPsBgi8QYPOwH5c/QpZeSUO+cX8P6WvHsDswpX+6OxhFJp36cHL5w2TolWkZ5wA6pYyrH12Xyi4/tNzKNUdXMO4LTbnGmCfEYRU2Wobc+ELRtHI4gGWd49i94Snv63X4cfkiLCy3EYnFWdHlSOUzvLhhiDlFJn56TCWrelwEIjGOqMrgX++lh5KVMgkvbxxKvS8QiXH7m1spy9Ayt8TCP9/pwBWI0D7i5fIFxVxxaDHjvjA3vbIl7TrvbhnjwrmFGFVTE8R0Cil5ZhWPfmsuPY4Av3p2M2PeEEuqM7jqyHK8wSjfeWhNKgnt0ZV9nFCfxckNWWTpFVx3Yg0vbxxiRZeDxgIT5Zlarm9L8MvDZ/Dw0l7+s7SLeAJqc/T87NhKMnRKfvtCC5AUye8dXsbTawY4qzmPUCxBVbae1sEJnls/yN3vdxJPJNvo/vjoCloG3di9yYnCT4+p5MnV/eQaVXxjYREKqZgzmnJRyiWo5RJu2qkvwYMresk0KKnPN1JkVnHtcdWpiI9aLuG6k2r565s7JnV2b4hoLEGBWc2CMisfbtuRu5BMMOynLle/x8K+ZdiNSiGlJkfPc+sGeGJ1H985tBR3MMKVh5eQY1CRb1JN6ebWkJc0winP0KZtQ5zVnMeybXYeXNHLo1fMSzUCyjTpsBoSFJiUnNuch14twaZLjnV2sWVaj/xBh49gNL7HZk/7mo39Sa+GNT1OSmxaZhUY96rN7v5EEPYDgD67h/e3Objx5Vb84Rg2nYI/nl7P4urM/T20A5JYLMa6vglcgQhZesVeaz2ZY1Qhk4jSrGxNahnZegXH1mXx6qZklyqlTMxJM3JQySWs6XGmQp02nYJwLJZWMvb+VjtXHFrCUdWZaU5mUrEIk0bBkhrNlGz5nRFPs0VZaFGTIGlWcvVR5Ty0kw83wMfdTlyBCPdd2sy2MR95JhV3v59+jaZCE69tHuGTbByY4LGVfSmXvxc3DGFQyTihPguHb3o/gEAkxvH1WTy1pj+Vga6SJdu0vts2ik2nTLMqfqN1lCF3kMsOKZpigPTypmHOmZ3PoRUZFJmVtA66iMRMtA27eX6y7eyhNQUUWyVkG1QMuAJsHnTzxKp+zmnO5zuHlxBPJA1YBpwBRCIR20a9mCdD7L2OQFpPeocvzMMf97K4KoO73uvk7KY8jq7J4NByK2+3jXDFA6tIIOK0Wbl8c2HxlC0OSLbDPbzCissfpSJDw/8un4PdGyJLr+SXz2xMm/wtLLMikYgYdYe4fGERzYUmht1Bco0q2obdxOJ8rh7tQxNBPmwfRa+Uc+3x1SzvHGfz4AQXzy8kHIvz+uYRzp6dx0QgMiWDviHPxB9Or2NFp4PWYQ9zi81YtXKUMgm1uQYc3jA9di+Fk3XhErGIDIOajM+Iso+7A6wbcHPfh12MekKcOjOXBWWW3eq6uK8Z9/l4ccMQ/3p/x3ehKlPHn85sOCgWVYKwHwD0OINc9/wOi8wxT4hfPrOJTJ3iC1s9HmwMOry8u3Wcm15uwxuKkmdScdNp9RxaYWPU5WfEG0YsEpFnVGLQ7F4DmO1UZWr47cm13PBiK4FILJXVXJtr5NuLSpiZb2DEHWJOcbL7mUou4cdLKvCHY2QblZRYNVx638op1x31hLji0BLkUjFvtIyQZ1Lxo6MqqMvWY9YpuO7EKiYCEWYVGNN6ry8qs2LRyPnxknLueGsb0XgCk1rG5QuLaZtsajJdmR0kk5nmlVqZV2qlc8TNObPzSSRgXokFSNDv8OPwhhlwpddeZ+mVU8T2xQ1DKKRicgwqarJ1tOzUUCXfrEIlFfPhNjv3XtLMR10OTCoZGXolt73Rjlgk4oK5BRxaYUtlkEMyQUs8TZhWJZOgnPQ/H/dHeGbdMB1j6ROf9QMeRCQ4e3Y+t086tq3sdnB6Yy6Prewjz6Smx+7jhUnTktc2D1Obo+cPp9czPDG11nzriJf/O6aKf11opDpTSwJ4c6ud29/cXr6X4MnV/czIM5A3jUVpgVnDB+12bntzK9F4AolYxO9PrcMbinLW7ALuX9bNgCvAYRU2GgtMDLgCfPehNZzUkIM/HGN9n4txXwitQsrfz59FvmnPs8jFIhEvbx5lQamZOSUWqrO1xGLQ7fATTySYX2rh9y+2cvMZ9RimmQg3F1koNql58ONeHl7Rw8+OreYPL7fSPuplRp6R8+bkE4zGqMzatZq3Dk7Q4/Dj8IUptGgQA995cHVqovyn17bw/XDZASHsnaPBNDMogLYRD512nyDsAnuHQdfUEPCwO8iod2r49utO53iAXz27KbX663cG+PVzm7jz/EZWdDt48KNeEokEF80vZHaRibo9WM2btCrOnJVNWYYWlz+CViHlydX9PLmmnzMac5ldZGbQGeCDdjvjvjD4kg8rmUTE5QuKWVhqoTJTl6rJBrBo5BRbNMwqNJFtUPCNBUUoZZJUaBMg36IlH7j2uCqWdYyzptfJ7CIzdbkGPu5KRgT+fXEzA64AZo2cTL0i1W9826iXWfnGNAOcUpuWIouGCX8QTzDG6r4JDiu38dTafq56dC0SkYhzZ+fzrUXFrOpxpoS8JltHvlk1pdtZoVnNgCvI/cu7+dt5jby7ZZTlneM0Fpg4szGXb/1vFQqplHklFq5YVMgHWx18d6fSvQ87xrnj3Jlpwm7RyLFo5dRk62kZSm5BSMUibj2rgdZhDx922JlbbGFhmWWKsDfkGrjjra2cN1dFRYaWY+ozkSZEWLVJs6P2EU9aXgIkzYB6xv1kGaea5ZRnaMk3KamcLIvsH/fxzk593rfzzpZRzmjMS3PL08glnDcnf9J+txiNQkrHqI8/vNLKfZfM5u73Oji8KoMMnZIVneM8tKKHXxxbRSKRLAc7qjqDC+cXkmdUUmDWUGJRT1mxbx5w0esMoFNIKTapyJ3GUU2vlPLtQ0u45bUtvLBhmLsvbuKXT29KNdHRKaT8+ewZ9DoCu4xwWQwq8i0avndEGfd+2IVUIuIf58/i/fYxVnY7sWjlGBQSskxT77+p38U9H3alqiAkYhF/OK0OrUKa1uPhkY97Oa4+i9rP6Pi4r4nGmdJKFiC8C6OfrxqCsB8AZOin1rma1DJM6l0bWxwsJBIJNvS7iCUS5OlVZEw+eNuGJuhzBOh3JhtjFFvU1Oeb6HMEpmQe94z7GfGEUvurAL99oYXbzp6xR8IOSWvcOcUWXt88zAX3rEitiN9oGeGuCxtZUpM5xdYzEkuwdcxLrlHJr0+s4cGPeli6zU5Njp7vHFbKrMLkCiXHqGYiEKFjzMu6PhclVg1WrZyyTD3bht282TaKTS3nR0sq6B338ctnNiKViFlUZkWnlHLhvEIAwtEYZzXlcf/yHl7aOMR3Dy+lPs/A6h4nc4rMyXpxf4R/vNPBhD/MzAIj3cCrm5Kh92giwYMrepmRb+S+S5vpGPOhkIrJNqqQS0Rpq3K5RMwPFpfx3YfWEIvDdx9aw4JSC+fPKSBbr+Cie5MRimKrknFviHhCxOOr0+ucIblqXlKTtIE9szGPwypt+MMxbjytjnV9LnrsPo6szuBXz26id9LBTSTaxoOXz2FNb9KHH+CE+ixsOgV2X5iZ+UZEwNtto1Rk6giE4xxVlYFOKaXQrGZWgYk+hz/lCR+Pxyk0qfnu4aX86/1OYvEEVq2cX51QnRL15I0TVGZq+bgr3V+9KkvPc2sHOL0xlxxjchtAp5CxeXAirWPe4ZU25hSZCUSi3HhaPb99oYUBV4ASq4abz2jgp0/uqB54s3WUN1tH+d3JtdPWri/vsPPTJzfQ7wwgFsFF8ws5qylvyve60KLEG9Lz8+OqCMfibOqfSOuM5wlFeXHDEFcsKppyj505ojKD9hEPyzvGueO8WfzgkbWpRcfTa/u5+6KmaYW91xlIiTpALJ7g5le3cPLMXO7faWWsVkiQfYoT35dFrkHBkk9sj5nUMkr2wGnzQEYQ9gOAPKOKHy4u5463kx2mFFIxvzmpllm72Sb0q0rr0AQfbB3n7+9sxR+KceqsXM6fk0+xRcm77Xb++MqOJKXj67L4wZGlZOinhtctGjnR+NSZ9rNrBzipIQuZdM+/5s+tG5gS5m4ddDPoCjC3xJwSi+0cXmFDKpUyuzjp3jfiLsaglpJv1mKfCNDj8jPsDnPXu9tSIqWQivnruTNZum2cBWUmmgpM3PLaFn7/ShtFFjXfXFTCmm4HF8zJpzrXyIrOcVqG3ISjcZbUZGJUy9ky4iEaT5ClV5ChT3YbU8okbBxw0FxkonXITWOBkds+sYIFeK99jLKFRUjEIkQiEQNOPy+tG+QPp9fTZffhn/SKt6hlnN2cn9rL/7BjnOYiM7dNhqolYhHfP6KMQDhKMJxsvVtq0xCJJVIWrXKphO8fUcT5c/L58+vtKeeyykwdvzu1ltNmZPFa61hK1BeWWZlfauHVjcNceVgpCpkEmUREp93HlQ+t4eqjynhpwxBPT7rZbRpw896WMf5zSTMKiYRDSi28126nLEPLr0+s5tGVfRRbNVTlGNEpZSwqt+INRck2KKesHiViEWUZOnInxRu2O+lpeX79IK+3jvLAZXO49plNXHl46ZTExHe3jPHz4yoRicRk6WVcf1I1gUjS2vW/H3ZRl2NI+bZvv1+RVc3QhB9PIMLyjnEkEjHNhSbueGtrqt4+noD7l/Uwu9A8RdjNWjWzCuVYdXKUMjG3vT7137vf6Ucp+/T9e5NGjlEl45zZ+bzVOpIWSUwk4PFV/ZRnaCn6RNTA4Zua5DnuC2P9RHvf7x1eRsVnlPN9GRRYtXz70BIKLWrebhujMkvLhXMLheQ5gb1HWaaOU2ckE5rGvCHyTCoqpmngcbCxbdTHTS/vaKX55Op+LBo5R1Vn8NdJIco2KDlvTgHReJwOu59ym4ZvLixOebNvb7O5aRrbU71KxpAryLAnRAIoMqvINOze5/rJMh25RIxBLeN3L7ZyZlMeZzXn8dzaQUQiuHh+EQ15O8TBpldj06vx+Xx80D7GlhEPErEIqUScEnVIlsfd+V4HM/ONNOQZ+PVzm1K1zd3jfm5/o527L26mOtfI8g47Vz60JuXH/sPFZdz5bif5ZjUfbrXjmQynXzA3H6c/wsddTsRimF9iQSOXUpOtZ9NAetZ9VZYOdyDKX97cyoArgE2r4NoTqhlw+Dl1Vh6RWBzZpFvg2c15HFJqYdQTwqZVoFVKyDYo8YWjZOmVaOQSGvIMBMJRzmzM4/n1g0glYi6aX8j9H3ZxXF0Wt7y2lXPn5LNlZMce/ZYRD2+2jCCuyUr97tkGJXW5+pS97f9W9FJoUXNifTbNRSb+cs4MMvRK7nhrRdrvM+4LMzQR4JGP+1K1+AOuAOv6XPznkmZKM3Ss7XXw1JoBHl/Zj1Qi4hsLiognoGGnXBa7N4JRLeUXx1UxOBHAH47h9EcIRmLJ72IsTjgW4+/nzqRz3D9l6wLAolFw+f0rkUvF3HRqPTe93Mrw5O939VHlKGUSXts8TI5Rxc+PrUIpk3Dnu51sGnBzbE0G5RYtyzrGWd3jmnLtoWm6MELSina7y+JhlbZUjsF2FpVb0Sk++5Ffma3nvDkFUyYskMzdWNE5zkQgvR1tvkmFWERaNK0mW8eiMiskYNQb4pASC5WZB86KuKnITF22hnOa8zCqZVh103eP/CoiCPsBQnGGjuIDrBxkbxEMBvGGIRyLkrNTGG9tr3PKuS9vGmJ+qYVAJLny++aiYv74Slvq4Tm70MR1J1WzoMyK3Rsi36SiIlOLWi5Ja2KikIpZXJXB/R/18MDyZHOQU2fmcOWhJfgiyQe1USUjVy/HalBPEfJTZubw0sah1Kq9JkfH0kmxeHJ1P5WZOq48vJS6XD0quYRwNE4gEESl2rGtsqLPy3f+t4ZwLNnc5rIFRVN+3267n1Nn5jLqCU0xLHEHo4xMPsQ/3Dae1mTFFYiSoVek7T8fWWkjFhNx5UOrU+N+ddMw159cy6kzc3mvfSx1j/IMLfNKzFz54NpUyHbMG+Lapzfy74ubgGQTl/bhCYbdoVRnOZNaxm1vbJ0Ssfjvpc3kmzW8tmmY7+x0/xfWD3LHebMY84T4YNsYHXYvZzbl8cjHOzwAtAopP39mA6fPykMiFnF8fTYPfpSe6d8z7kcuFfP4qn7On1uAyx9BKhZP2SeNxUmJ+nYmAhG67T5mF5lZ3uFIXTscS66um4vM/PXNZKLfrAIj17+wmW2jSaOVs5ry0CmllFg12H0hbntjKz9ZUkEwEscdTCY8Hlubyas7VRgYVDK67T6CkTjBSJzfvtjCNUsq+PnTSYOiv7y5lZtOq6PYqkGjkFBgVvPdh9ewoNTKRfMK6bJ7GXAFmJlvojHfyEfdO7YEFFIxVVk6bnt9C/2uAIvKrFRn66b4utdm6bj6qHLuXdpFJJZ0ApxbYiFzN33Ui40yTmzImTI5OHlGDn98pZWrFpcjl+xoLVtkUfLH0+u5+dUtjPvC1GTrue7EamYWmJj5BSKPbn+YLSNeOsa8qGRiKrN1VH1KAt+eolAoKMvcsyTbrwKCsAvsUz7uGufNlhE2DrhZVG6luchEmUWJWa8hZ5quX4VmNTkGJTXZesoytDy8oi9tRbSyx8nSbeMcUmrhiJ2au5g1cn54VDlOX5gEYFbLCUXj3LO0O3XOqCfEllEvT68dYEaekWg8Tn2uAemQB5FYjFYhZVa+EYlETH2WlrsvauK5dYMkEgnOm13Aa5uHU9cacgfQq6T87MkNOP0R1HIJvzqhmiMqLWQbtTi8Qe5f1kM4FkcsSq7O9cqprmbH1GbyysYhrj6qfEqpnUgElslQ5pgnfZU2t9jEMbWZPLayj82DbpZUZ3BSQw5/fiO9bW08ASu7HJTZNNx9UTOdY14kYhElVg1DE0FOnpmDXiklnoBYIsF/P+xOCf36PgdvtI7x7/c7CUXj5JtV/PH0Bg6tsKa611k0cq4/uQadSkrXmIdHV/am3T8aT/Bm6wjhaJymQhMfdTo4ZWZ6P9J8s5qOUR+PfNzLtccnE8uCkanOc/EEbBn28PSafo6qzuSi+QVp/74lVjWRyUnUJxu/KKRi+h1eGvIM3HVhI30OP0+vHeD7R5bz7f+t3qlMT8LVR5Xzh8ltoCdW93PnBY2YNTIuvOdjrl5cTiSe4KrJ8j2xCH57ci1WrYJn1w1Sl6vnmNos/rxTC98xTwi5dEfd4txiMxk6BRq5lFKbhq1jXvTKZGOZHz2+LnVeTY6em06t44r/rU4ZJN14Wh3XPLE+9fPTawb4xXGVU4S9OteISatgYZmVYCSGTiml3Lr7K1KNRk25Lco/L2jksZW9xOIJTpuVx+oeJ7lGNev6XGTrVUglHsozdRRa9eQaNZRnaPGFY2ToFVRkTg259zl8BMIxCk0KFIpPF9RoLM6GgQm++9AarjuxBlcgyhOrBqjL9VCVpdtrPSAORgRhF9hnbOx38dMnN6Tcw5Z3jnNSQzbfPrQEsx5mFBgptmromrSh1CulXLW4nG2jXn5zUg2bBydSteM74w/H6LT7qM0xpBrLNBWZCURivLRhiH6nn7NnF0xxQ7t0fiEPfNRDpj7ZinQ7vzullk39LoptOmLxOHNLrGSZtWSZtRxeYYMEyGQSECXtZN3BKGc05nHnux2pjF9/OMZ1z23mf5fPQSwSEY2BTinh/46txBOMopRJiCXi/Py4Ku58twN3MMKxtVnML7Hw1JoBpGIRP1pSkdZI5luLiik2Jx/GPzqqgvfaRxl2h/nOYcVs7J8glkiuoApMampz9bQNu5mu+i2RSJra/OXNbZzemMvRNRnU5Rnxhu2TLnDJPVy9SsoPF5eToU0+cPudIf7+9o6ObX2OADe/2sYVi4r5wZFljEwEqMk14vKHmQhE6RjxTRuWlohEHF5hY9QTYk2Pk6zJZFGxCH55fDUAP1xcjlwq5sHl3RxWmcFps3J3dBAjmX0OMLfEzAdb7TTkGanLNXDTafV83DWOVadgUZmV373YwrlzCtIStpoKjBSY1Vz3fCtvt41i1cr5xoJivnNoCa9uGkqbBAQiMbaMeCgwq1P5AQOuACq5mEgsQVmGlqsfW0c8AdXZOk5syGHMG2JuiZnTZuUSiMa45N6P2TmQkG9SUWLVcMHcfCoy9czMN+APx5BJxKjlEiQiEd9cWMz1L+7o2gbQMuimc8zHvy9uotfhx6SWMewOTXFBvPO9ThaU2dL6I3SOuulxBOh3BjGopPx3WRcLymwcUmJOTxT8FEoy9fgjMY6szGDUE+K3L2wmEkvws2Mr+bjLwYgnhEwqonyy2ZFUKtllu1dPIMiqHjf3LetiwBnk+Posjqi0fWpb1zF3IOXV8OCKXtbtVPlx5WGlhMJxKmwK1OqDf9tyTxGEXWCf0TnmS7MEBXhx4xBnNSUbjswuMvPns2fQMeolFI1TatPwo8fWM+AKIBbD/y6bw/H1WWkWppB0TYvHk6UpO3eMW1huY0GZlVAkRgJoG3anTFj0SinBaJzGQnOq9nk7f3yljUvmFxGOxmgf8VFgVqdaP8qkkrTr/+uiJtpHvFi0cu77sDt5jkSESS3H4QvT7wxw57sd/OLYKmYXWfjNTi0263MN/OyYSv50Zj1mtRxPMMqGgQnuuaSZLL2ck+ozqc3WM+AKkKlXUmpR0j8R4sm1g4x6QvzyhFryTEqi8QQru5zc+2EXd7/fyeEVNiqzdbzaMsJxdVm83bajeYpIBMc3ZPOb55Kub/98twOxCOpzjazsdqY1QnEHomwcmODoGhuQLMP8JBv6JzBrFSQSCbaMeLjk3o+JxhNkG5Rce3wVi8qtLN3JTU0kgvJMHT95cgP5ZhW3njWDikwN939jNlKJmOuf38zWkeR2gkQs4pYzG/jXex1ctqCY6iwdXeN+4ok4JTYtK7rGKbXq6HcGCEZi/OixFk6ekc3pjXlc9ehaWgfdnDu7gNW9Dq45uoIJfwSTRo4IuOu9ztTnYveGueX1Lfz5zBnTJn1NBCLolDsejVkGJVn65JaPNxglEktg1sg5oT4nrc3t/BIz159Uw0+PruLW17cQjSe4fGEx+SYVDyzvYUa+kfpcPc+tG+SB5T1EJ73arz+phgFXAG8wOmUsgUiMGfkmqrJ0rOlxTdt1LRSJk9gpTNI16uXJ1YP8c6c98l8eX82za5Nuersr7AB1eSbiCVjd6+LSya2kJ1f1c8qsHMZ9yXyg3WHDgIcrH1pNMJKc8fzt7W24gxGKrErMmumF2R+J0znm46QZOWmiDqTK8UY8BvLNYSoz9Uh20T3y64gg7AL7jF14pyASi4jHE4SiMWqz9DQWmBibCPKr5zelspDjcbjgno95+JtzcQcjvLNlDJNazmULili2zc4PjypHPU0ikEgkwuEL0eMIsLDMyovrB+lxBJKGM0oZsWmy5/3hGBKJiFgigTsYxhOKkr2Lsc8vtTK/1MrqHgd6lZRja7PJMSoZcAXIM6ooMKsZnAjyZtso937YlfbejQMTeENRDik2YdAqSSQSHFphS01ONg9MIBGLaJjs076uz8X3H96xB/7Qil5uOKWWpnwjt7y+JRXyfrd9jMMqbbzZMsLiqgxuObOB11uGkYhEnN6Yx1utw2mlT4+u7OOspjx67FM9wjvGvEQmM6DyzVMf2qU2DQ5PCESiVAMcSCZ03f1+J0dVZ/LL46tYus2ORCzmkFILj3yc3NPucwRoGXLTPuJhZp6RPkcgJeqQLJH613udfOewUsQi2DToZ0XnODPzDVRm6vioc5w73+vg24cWY1DJOKY2k7IMLRa1nJ8cXcn77WNIxNBUaCZDqyCsi/HL5zbx3cPKeL0lPfKTSECPw8fJM3OmtKSdV2zhj6+2IRbBxYcUUWhWU56pS5rOBKNo5BJOmpEz5d93eaeDraM+Tp6Zxcx8A+Fogrs/6OCeyUTPp9cOcHxdFs1FppRb4eoeJw8u7+GyhYUcXZuZKkmEpMPh9vKrVT0urnxwNZcvLEYtl6Q1yblgXgFllh3/Vn0uP3e+n574duvrW7j5jIYpE+3doSHfhFwipm3Ey9BEgNMbc5GIRXSP+zi2dvfcMTtGfSlR386jH/dx+qy8XQp7ll7GkppMQpGpf7OhaByRKJmTIxHBUTWZFFk05BmV6KdpkPN1QxB2gV3SN+4lEk8+YHJ2M+lmZ0qsaoos6jRLzRMbcrBq5TzycS9vtI6Qb1JzXF0WmVpZmuvadt5tH+OnR1dy7uwCuuw+3IEI3z2ijByDCq8/RK8riE4hId+STMrb0OfkpY3D3PdhN/FEgmuOriDPpCYUiZGhlVOfY5iyB5tnUhEMR1HIJOQZ1RTsxiokW6fk9rNn8sDyHh5ftSMR7KQGL+fNKUAqFuEKTLVgtXtDGLTJULRIJEIqEeHxB1jd5+G3L7TQZfeRbVDymxNrGPOF0gQZ4F/vd/LP82dNLcUb8lCZqeeXz2zi2NosDqvIwKyW4QtHeWzVQNq5JrUcVyDKgnILT36it/Zxddn0OwKMeSK8tmmE0xtzeXqyp7dWIeVXJ1SjV8mm1HgDbBxw84Mjy9k66uW3J9dyzwdd3Phya9pYN/RP8JOjK+gZ9yMRibhqcRlPrupncDJJcNgdxOEPs3TreKpt69ZRL++327nzokbOasrn5Q1DPPhRL99aVMziykxq8wzolBK8oSi/e3FHlcWPjirn58dVY/eE+PlxVXzc5eDN1h3RDLlUglQs4vqTa3lgWTcikYjLDikk16Ti5tPrUckl5BlV+EJR1vQ4MKtl5OgU/OnMBjrGvNOu9kPRGDlGDTlGDa9vHk7rggZJy9wzJiNW23lvq52TZubwzYUlmNRy3mgZocCs5vtHljGvxMJEIMzf396KOxjlvmXdXHN0BSs6HQy4Apw8M4e5RWZUqh1iZveGp3w/QtE4kXgc4zTd63aHqhwDwWgMSNA25MGqU3BGYx7F05jl7MyGPidrel0opimz0yikSD+lpl2jVHJ0TSahWHLcOyePLiq3sq7XhVgkosiqwR2I8q/3OynP0HJohRWzSkae5dPHdjAjCLvAtKztddIy6ObN1lGUMjGnN+bRkKsh07D7fywN+Sb+dGYDb7WOsnlwgkXlNhaUJruQ/WWnuuoXNgzy74ubmFdiSfmBb6ciU0t1TnIFOzwRIBqPk2VQs6HPxZ3vDfBm6wglVg3fOayUQ8qsdNr9af7PN7+6hVNn5nD9iVUYtSoiiTi3nTOTG15oYdgdpCJTy5WHlyJGhFwqIseoQin/7IffllEvA84A733CoeyFDUOUZmjJNao4tiaLV3ZKuJNLxBRbp5b7dI4H+dmTG1J7p0MTQa59ZiPfP7J8yrm+UHTaftgrOu38+eyZfLjNzvo+F5FYnDyTiolgslZ7e4mUSJRsldrn8JFrSPon/PuDTiKxOCfNyEGnlGBUy7jrvU5e3TzCnGIzP1pSQTQWZ3aRmVyDklyjnK4x35QxVGZp+WCrnf991AOJBAUW9RSBWVRu5f12O3+Z7Msul4i55ugK/vV+Jw5fmKNrMonGElN6sY94QnzU6WBOkYmLDynkokMKKbNqMGgUTPiCDE4EUyWSAEtqMlnT60r79zl3dj61OXo2D7qZXWiiPjcZFYlEE/zi+GTP+T+/3o4zEEEsgr+cM4NeZ4BbX99Cz7ifhaVWrj6qnCPKTZRY1azuSb++VJzsiLaxz0l9vmnaHuXbueboCkLROEqpBFcgxIvrB3l0VT9XHlbEP85rxKSVpZLPXP5IyjDI5Y9ww4ut1OXqOW9OPtXZ+ilZ53km1ZRVfYZOgV4hJXMaM6xd4QtFUMmkiCfFd2aBmXKbhkUVVsQkMGk+ewL8XrudP7/RzlNXzk/zBQD4wZFl1OR8ek17U5GZUaePf5zfyH+XddM65GZ+qQWbVsE/3+3gF8dV4QqE+fnTGzmkxMJxtVms6EyWetZkB5lXYvladpgThF1gCl2jHjb2T3DdTvvDr7eMcM8lzXsk7ABzii3MLjITi8WQSqWs73Nx79L0EKbLn+widv7cArYMe9gy4kkKUFMe5RnJ+4lEotS+d/+4l7ve6+SN1mTYcsQdYkP/BM9+7xC2jXr4JO9vtTPsiWDUqqjLNWFS+bjvsmY8wSgauTSZjR6Pk6VVYNGr2DTgYswTQi2XUJahw6KdGtpTSMXYp+nYBhBPJJgIRGgsNCKViHhnyxgFZjU/XFzGjDwt0WgM6U5790MTwSkJUcfWZVOeoUEuSS/pOnd2Phk6OYdWJAUSkoJy+aIS7nqvg0VlVn5xbBUjngCrup0UWTWc1ZRHguR+rVWj4KnVffzulDrsniCVmRounFeIVCzi3S1jPL1mgO8dXpoK2X7c5Uitzr93RBk/PaYSgBKbhvPn5PPIyj4SCTCqZfxwcQVXP7oOgL++tY3/XT6HU2fmpCZrJzZkMyvfyLn/3lF/Ho7Fueu9Ds5symPcF0anlOINRZGIRVNslsPROB+02/nR0ckxxONx3tsyypOr+2kqMqVFYepyDVNyKZ5Y3c9dFzTi9EcozdDw59e3MLfEAiJw+iJUZulgUgNOnZmDUibl+w+vTX3+Szvs+MJRbjmznuocIz86qgylTMybraMUmNVcOK+A295o50dLKpBLk2Vsn+xRPqvAyKgnmJY1/+MlFfRNJurd+V43d77XzW9OqkkJe7ZeyVHVGTy1ZkfkZdOAm4Jj1JPOe8NoFTLmTHZWK7EouOXMBm58qZXBiSBFFjXXnVRDnlFJRZaBYCSKTCJBsovVcsfoBE5/DHcwglQkxqyVpQxxNCoFu1uJvnlgggcmXRq//9Aq7jividW9LoZcAWYXmSnP0OyW6GaYNGSYNGTp5fSMB7j3w27W9rr48ZIKpGIRDy7vRSOXcNH8Qn7+zMbUyl4jl3D3xU0sKLPt5ogPHgRhF5iCNxzj5U3p9auxeIK320ZpLDSgV+7ZHpZIJEI66f72yX7VKRJw0T0r+OXx1RhUMqw6BcVmNXnTtK8ccId4sy29M5kvHGPjgJvcabYMqrN16JQ7hDTXrCF3p9dbBibocwZoG/JQaFFzw4utrO+fIMeg5PtHlrOo3Ey+OX1CU2BR0utQpWVPQ9L0pc8RoLFAwa+f20xNtp6zm/MYmggiFcMrm+28uGGQXKOKExuyWVBmw6iWT9kesGjl3PZGO3dd1Mh9S7sZ8QQ5ZUYu80vNjHrCNOYbaS40p8q7ZBIRH24b583WUX5/ah2tQxMsrs7kumc3ce6cQv7xzlakYjFHVmfwoyUVKKRifKEobaO+1B7wdl7aOMRZzfm0Dqe3aC3ZKdrQWGhGIRFzaIWNQDiZrPirZzemRDAci7Osw84JDVmcNisXqUSERSNjxB2asj3j9EeoydZz53sdtI94uXR+IefNzufBnbrW1eXqGXAG0nzHl3c4uGKyVC0ci9NYYGTN5HbOdLkUsXgCbzjGqCeISSPlmNos/vBKW2rv9+iaTB765hy2jvowq2V02v1T6uTX9rkYcYcpy4Q4yYS/bx9awtBEkC3DHs6dU4DTH6bD7qM2S8cfzqjn+XWDrO5xMr/UwrG1mWkTG4A73trK7efM5LXNO6IUsp0SweQyCZctKKLf6WdFlxPDZHOihz7qpXXYw2EVNupy9fjDMQ6vzMCq13JEhYw8YyPOQASrRk51to5hl4+3WkdY1+dCI5cys8DIjBw9qp3KMF3+IGOeCB91Ofjf8h68oShnNOZyemOM5qKpLVk/DZEomVgKMOSOcNa/PqIx38AvT6imaRfXGnR46XEGGfeFyTEoqbIpU1nvpRl6iq1arDo5LUMeHlnRy/lzCwjH4pzdnM+yDntauN4XjvHU6gGqs7SYtQeP+czuIAj7V4RAOIYoEUOp2Pf+8XKJCBFTZ9JikYhIJA67H80DYNuoG4VEQr5FQ7FFyWULirhjpzIqvUpKaUbSgvT6Sb/3pkITfz6rftrrycRi1DIJvnB6hrCIZDh4YdmOzGyDSsZ3Dy9DJhbRMeohSydHs9N+5LpeJ3e8vZW328ZSY7nljBlc+dBqBieC3PRyK7efMyMl7K2DLnocQcY8ISoyNNx2dgOPruzj4y4nswqMlNq0jEwEkk1igJYhNy1DbkpsGrrHA9zwUiuHV9rI1CtZ3eNCLZNSYJTzk2MqufGlHfvDyRr+HrYMe7j6qDJicbjj7XZmTHaY+8tbOz4/SFqeJlunDmDTKmieV0iPI8CpjXlIJSJ+tKScqiw9f3yljefWDaJXSfm/Y6ooncYbO9+sJkuvSK02RSI4uymfmpx0A6XaPCOhWJwRd4hf7LRSgmSt9sYBN399axtnN+dyQn0Ot72xjbZhD3OKzZw4IydVSpdnUpFvVvOtRSVo5FIUUhEWrTzlf59lUOILxbhnaRfXn1STusemwYnUZOj1lhF+vKSCDJ2CpdvG0cql2LSKtByF2hx90vY2Gmdd7wRvto6kJXS93jLCIWUW3IEoBSbrtPvRepUUpTwpuiaVDLFIxD/f7eC0Wbn0jPt5fFUyZ0Esgr+cO5Pj67KZlatj1BfBppbyaqt9ysQ2Gk8Q2qlu36ZTUJm5YyK5sd/FuC/M706pwx+O4QtHufrRddi9ye/Y/z7qYWGZhVn5BtRyCcs7xrF7wywsSzq9Fdn0eANB1g/6+P7Da1JbOWaNnH+e38i80h0i6/JF2DbmS9sqe/jjPjINSgqNSmzG3XeOq8kxcMVhpVy/U+Svw+5nV31WusfcvLXFzp9e3ZL0fVBJ+dMZDRxbt2OyLhaLacgzka+XU5ejZ2O/izMaczGopP/P3nkHtlWe+/+jvbcs771nYjt7kL2AQCDsPcqmUKCslhZaRpmlpYyyyi477D1CCCQhibMcjzjee0uWtefvDzmKFbn3clt6218v339aFNs6OjrnPO/7PN9B00B8/HHnqAu372/ReP9z8WNh/zdHKBRmX5eVpkEHzUNO8hLUFCerKU/75/nIZxpknDIzna2th4k/IqGApUUJaOTff2Gxp9PK5w2DvLazC4NSylXL8piRoWd5sYUErZyPa/vIMCk5tjyFW9/dH/O7B/rHsXvipT0ApUlKLlucy/2T2pmlKVpyE9RUpOv5xZpC2kczcPsC5FtUjLoCXPLSbrpGXawqTeLEylSqs4wEQ2GahxzRog4RydeTm1s5a04mz2/t4K4TS1FKxXzZMECaQc4bNT1olRJUUjHPbOmgLFXLmbMzOHdOJn1jHhQyER/Wuhn3BDhrdgZbW0fIt6i5ZFEuF79Qw2kz0+kf80QfnB/v7+OOdWUsLTCTb5lJj9VNkk5OpkHOb44r44HPmvjjFwc5tiKZC+bnUNNhpSR5KuMPF8eWJ3PpopyovOqvE+5ucomQ+06axqMbW6KzWrs7wC3v7Oe582fGeAkopSKWFFq48c1aTqxK49hpyRQnadnXZSXpCJ/+2m4rV72yB6vTx7UrC9h0YIimAQdHFZhJ1Mr500ThPqEyjate2cPQxLihc9TFrGwjy4st7O+xc8XiPM5+ejtufxClVMSta0u5/o19PHjqNOQSEU9tbsPjjwTfTM/QR9/frJZw/apCBu0ePtrfzwOfNrGqNJGb1hSxq3OU+06q4Lmt7dT2jDEjy8jcHCMPfHoAmUTE70+ezmNTWKYOO3w8/GUz7+zp4fZ1ZSwrSuCLSdfHdSsKKbZEilt2goYzZ2ewp8tGllnFW7sPt8pDYbjrg0byElSUpOhJk0bumwyjEp1CwtgkYmWyTk6WWcVdJ5SRopOjlImZmW0iEAzxecMAv36njsFxL4laGS9eOJvtbaPRon4I3zSPcNniPC55oSba1XhhWwcPnDKNrAQtNneQJ79ujeFnjDp91HRaSTdKSTVEFm0CgYC63nh75nd297IoPwGjVjllC7+uZ4xxrx+TSkr+JGOa2Vl6/nDqdL5oGCRZJ2NRoSUy/pgCXVYvd37QED1GuzvAr96uI1mnYNoRUaoGrQqDFtL1UkpSdOzqsLKk0BIT6gJwYlVqdCH2fwn/0sIuEAj+AhwLDIbD4bKJ14zAq0AW0A6cEg6H471H/4+gZdDOM1s6eGcSqez4aSlcukiI3RvApJKQZ/lhQxXkcjllKWoeO7OKd/f2opAIOX56KplGOdL/JkRiMj5vGODhCUnU4LiXK1/ezdPnzmBpUSIV6QbOnJWBUCjgg329HOiPJWMtyDeRpIktJN+1RiJNbS4/MzINvHjhLL5tHqEwSUNugopETeThWZKqp2RiJvhd20iMs9hL33Vic/kxKCWY1TIG7PG+2w19dk6sSuWF82eyqXmYZ7/dRyAU5ta1JfSOeRh1+aMP8Y/r+vmwVsO9J1WQZlSytWWEYCiyG9rXbaNwojUfDoeRiYUkaGS8suMwi14gENAx6iZFJyPXrGJxoYUBu4P9Pc6ouxnAGzU9BINhfMEQTl8kh36yBn1lSSIrShIRAR2jrmhRB/D4Q9zzUSML8s1sm8RmD4cjfv1nzErH5QuilospSNTQPDDOqTPTeWVHF0flm7FoZFSkG9AfISNqHnJGj+H29xuYlW1kSVECp8/K4O4PI85tSVoZvTZ3tKgfwva2UZ4/fyY2t5+bNtRGrYBdviBv7+6hMFnLrs4xVpZYOLosCYFAQLZJjkWnIhgKs6fTyrDDT2OfncIkDdetKOCb5mHyEjXc81Ej494An+wf4N0r5uLwhtjdbWPY4SM/UcOpM9J5fls783JjNfdANAu+ZcjJ9rZRZmebOH56KqNOH+lGJRlGOUNOP7ZhF3qllLm5Zh47syrOYhdgYNyDxx+7W6zMMPDH06ZzxwcNNA86KEnWcue6UoKARCykedCJTilGJxfjDYZRSsU8dNp07vukkZrOMZ76poWKKRb1crGQ5kFHzKgC4JEvm6lK1xGGmMXEIdjdfoKhw4XapBCTPkXmfHaCkg27uvEFQ9FZPoDd5WZzszU6zy9P1fKLo4uZm2sGoDhFT3GKnnWVh4dfQ2MOmoY81HRYcfuCzMw2UJ6sonfME0cMHXJ4GfkbXBYAnUrJNJWSijQ9DX1j3HJMMY9vaiUQCvGThTmUp2gxqf+HLcb/APyrd+zPAg8Dz0967Sbgi3A4fLdAILhp4r9v/Bcc278Fum3emKIOEfez4mQNd398gGlpOm5eU8SciRtpKrQPjtNl8zDs9JKmV1CSqED137g15SfqyE/UsbjQTCAYQiQUTakb/1uo7x3jjZpYmVU4DPu77SwtimhfD7FtcxNUXLU0j8cnrEunp+n4yYIcLJMsZ7e3jcRouh8HHjxlGqvLLPz1uy7u++QAJSlaLpifFX2oALQOOuPsRT/a38fZczLINKvJMMa3Fhfkm9nRPoq60MJTmw/Pn0edPlaVJsXYfgLU943TPuzi7o8bY4rt1cvy6RhxcOmiHPRyEZcuzuW7lsNdkOOmpSAVC/n563sJhcOsLk3iooXZiEVCOkddcQ+592v7+NNplfzm/XruOrGcm97Yx6DDy1H5Zn6yMIcP9/dz9uwM9vTE77i6be4pdelGlZSKFA09di/3f9JIZYYRvVJCmkHBKxfNpnPUiUIiodCijiM6HZldvb1tlOFxD+fNy+I3xxcz4vSjlIjpssZrp0VCATKpiL0Hh2PY2xAxxrnrxHLEwojN7YjTRyAYRC4R0jriRiUVccs7+2mY6D68t6+PU2aks7ggga+bDwfiZJlV2L0hNjYO8uTmNjyBICuKE1HKRHxY289Nq4uwe/zs6x5DJRVx1bJ8PjrC6fCujxr5ycJsrl9egEwm5tvmYR78rI693Tbm5Ji4dkUBY24vOWZVXAjK0kJLtJ3fNjROt9WD1e0jTa/g6bOrGHb5SVJLaRhw8Iu39jM47sWikXHJohy+aBxiX5eNj+sHyLOouX5VIW/WdPHqjh5Ors5gero+xrTlvPlZOL3xBjcuXxCvP0SaTsLJ1WncM8lQRyCAGVkGhh0+MiZqtVolZ2aWIbpwFAsF3L2+nGAozIA9kmfQ3D9G3oRfe32fk2te3RvlItT22Lnl7ToePaOSwkmdpX6bE28wRMewG18ozLWv7sE+Ycjz+Nfw2FnVJOvkcRwck0qKSfXfdwkFAgElKXryLRqWF1vwB0KoZGJSplik/F/Av7Swh8PhrwUCQdYRLx8PLJ74/88BX/F/uLBP5ZkN4Jp4fW/3GLe9V88fTps2ZTjCwYExPqgd4KEvDhIKR7yw7z+5gmMqvt8Fr/ge0q+pIBULMaqk9B+xI1bL4y+5omQdqTpFxNc6ECJFLyfviECc/T32OE33o1+1cPHCbF6dmGv22Nzs6bTxxDnV0chbuSS+DadVSBAKBYSCAXLNkXzupza34QuGKE3RcuGCbKzjXvb3xTLsXb5gVNJ0JPyhUExRP1QDCxIjTmMDOSamp+sIBEK8t68PmTgiffvjF4dnmR/t76coSUNpihaVNP48WTRyZBIhq0otBIIhfnJUDokaGXkJagbGvZw9K510k4o0Q/yssThZQ1mqLsaP/tiKZLJMSrzBMDvbRllUaOHt3b1RMmCSVs6jZ1bG2H76fH5aR1wRn3OzGq1CjN0dQCUTcee6cnZ3WrntvXpWlyZRkapj88Fh5uUamZllYEf74V3t2XMyEYTDzMg0xJD3fn1sMakGJQ9+1sSww8tJ1WkMj3tYU57Mrk4bLYMOylJ10aJ+CBt2ReJECyfsTWViIVctzadjxBXD5/i0foBz5maikIi495NGVpYmsaggAV8ghEQkiBbLVL0C+8QO1+EJECLM3i4rP3s1MlIQCwUsKbTw05d30211Mz1Ny4OnTud3HzYyMO5hWVEilyzKweUN0Ng7xjt7+3j86xZC4YgL4oOnTqciRUW3zce1r+2NFrnBcS9//PwgZ83JZG6emY/rB2gedHD963t5/OxqNh4YQiiAW44tprFvnNahyPnot7nJS1TH5Q2cMTuddIMcqVTCvDwz1wOv7OhEK5dw6VG5pOvlcSOWmdkmHjmjkm2toxQmqXlhaydfTHIzvGxRLusrIS9JR8dIPMGwZchBn91DYbKW+h4be7vtNA2Ok2lS8eBnTayvSo1+Xogshv7yTRsPnVrBjasKuf/TJgKhMEqpiN8eXxqTIvffQSIWxUXK/l/Ev3rHPhUSw+HwIUp2P/D9rI3+Q5FhVMSxiDNNSobHD8/YGvvHGbD7KEqK//0eqzeGCOP2B7nt3XrSDIr/0Q3zP0WeJZJ+dvWkdnKSNhLHORU0Simzckw43W52dTv4pnkEuVhIvkUd8YH3xe9G7B4/viPYz0MOL23Dzmhhz7OoKU7WxBSCS47K4eumIYKhMHNzzeiUkXxujz+yqAiHwthcfjJMEZOQF7d1YHP5eXVHFytKLCwpTIjJ084wKuPalydXp/NJXT+N/ZH3/bR+gOOmpXDZomxWlSbSOuSksT82RhXgi8ZBlhZZkEtElCRrojNxgSAS93mgfxy9UsZFz9dEf2dFsYXrVxZi9waxuz2kaGXcuraE+z45gMsXJMuk5OTqdHa0jvDIGVW0DDrQKSXkWzQ4fQEkYindNjdquYTOURfHlCdTmKTBFwzROuxEJxeTY9Gwr8tG+4iLfT1jeP1BFhcm8PQ51fzl2w5OqEzh5g37o6TBrS0jXLooB48vQLfVzTlzMzl+eupEYdailomRS8UMD4zz85UFPLW5jV8cXUwgFOLyl3ZFpW73f9rE9asKI6Y3E8TKq5fF6/uD4TAKqYhpiVruWFdGpklJYaKCpzbHpsQJBTDi8HLpohz+8MVBPt7fz8fA5YtzUUrFVGUYyLOoSTcqeOiLgwgEsKTQgkIWOTeHRgrLihN5a3dPdDG3p9vOLW/t56lzqhGJhLy9u4eT/7wVi0bGLccU835t7+HZsSfAbe/V8cjpVdT1jccUuUP/LhYJmOyQavcE6B/zcN3KAuRiIcMOH3qlmBmZBjpHXUxL17Gve4zfnVjBO3t6GHH4WFWayIxMQ5QsWpKiJUMvZnmxBZEQnK4AWoUI/RSM8VStNCLbdAViijrAU9+0srDATHogiEEdv5vWyMRRS97dXWP88u39PHPeDK56eQ+KI/T1hz+fnxAC1k9PpiJNx7DDR4pewfQjZus/4vvh37GwRxEOh8MCgWBKSqNAILgYuBggIyPjf/W4/jdRmqrn3pMqeHZLOzvbrczKNlKWouOBzw631LRyMWrp1LPvPnu83/eQwxs3i/tnoCRJwxNnV7O/145aJqY8VRczn5sKW9vsXPZSTXTXkWVSct/JFZSk6OK0zafOSOe1Hd1xf0M+iQeglgi5bW0pjf3jDI57KE3RoZZF9PQdIy5k4lGqMo2kGiIt+X3dVh77qjXaklVJRfx8VSF3fdiARCQgFIoYaxQna9nSMkJlup5VpYmMOX3IJcIoyzpFL+e1nbG7yvf29XLyjDSuWpLHkNNHXe9Y1Mv+EMpSdCgkQjpG/Vx0VA4ub4QFnapXoJFGMtAveHZnzO981jDIsdNSuOejRtZOS+Ho8iREgjDnzs1CJBIwaPeyp8tKvkXDxS8cXhAoJCJ+eXQxL33XwOVLctmwq5cVJYm4/cGYkJzb1pYiFkDLsJNb36mLtrpf2t7Jo2dUce3yfLa2jUaL+iE88207z5w/k6tf3s3vT53Obe/WIRQKeW5rO6Ew3LCqkBUlFpoHHLxw4Sxu3rCP+XkJcfr157e2c8L0wzNatz9IgkYWM7dfNz2FGZkGMkxKZmUfHsWkHbHgmp6u5+09vXRb3VyzvABfMIRUJEQkhM/q+/j5inyGnT6e3NzG9DQ958zLojwlsqhJ0Su4YnEuj3zVQn6iOibtD2DcG6BnzM3zWzrZ020DIjvwa17by9XL8mPOadeom6aByDUpFgqiFrMQ8SXITVDz2MZmdAoJDm+AYCjiTz8jU0fToIvntrSzuXkYi0bGTxbkoJSKefrbdvItao6bnoJEJIz4D7TDvAkdt0QkxKBRY/ge6dBmnYoFeSYOTME09wfDuL1BbA4vGQYFJ1Wn8cakwJ7rVxdSlWGga9TBS98disgNMe4NMO4NTGnSdOrMjKhPxf+Eef8jpsa/Y2EfEAgEyeFwuE8gECQDg1P9UDgcfgJ4AmDGjBn/0XqGWdkm9AoJww4vVpePLxuHooVPIIAbVhVRnDh1az3NoIybW6Xo5JinWGn/0MhN1JCbqGF5yRSthCnQMezgkY3NMa3E9hEX+3vsHFNu4dEzqnj86xZGnD7WV6WyrMiCze1nb3dkpqyUinji7GrGPQE+resny6SgacDJlS/vRisXs7wkEa1cEo3kBJieruO3x5dGCUltw66YOavTF+SNmm6eOW8mKqmY29/fz0VH5bGmNJFRh5fPGgb46/ZOzpuXxe9OKOeNXd302Twk6+IJO+EwhMNhStP0QMRS84rFuRQmaxhz+TGrZaTpFShlYna1j1KVZWTQ7iTdqGTM5Wdnu5WyVB1LihLiFgROb4DeMc+E616Y0hQdt74XsXMtSlLz62NLuOKvu2N+x+0PIhBGpIWhUCQ5zRsIxRm73PdJI9PSZlPXa48W9UOf5+lv2vjl0UW4p9iFCQSRZLchh49dHVZGnLGLyae+aWNOjhGnP8jBAQeN/Q4WF8U36LQKCQvyTWgUYh7d2MJzW9q5ZnkBLUMO6nvHuOnoYnpsERfAdGMkSS1FK6FlxINWIeHG1YU4fUGe/bad46en8Fn9AAcHHTGF9qTqNM6YnYVMKuLY3BSmpekQCMDlC7BhTy9/3tSKxx/khMpUnj1/Bm/t7iU/UR3jdQ+gU0ijRf0QgqFwXLs6x6xie/soNR1WLl2UwyNftRAOR87Zz1cVkmlUcPGiXFqHnCRoZEiEArJMSsbcAZ7f1hH1tx+we7nrowaePmcG587N5MHPD7K19TBB8rGzquLO5/dFeVrE0/5IO9eSFC1KuYg+u4fpGUYumJ/JsiILww4v6UYl2WYlAoEAkUCAbCKu1hcIUZio4cDAOBt29fCLo4t5f18vTm+QM2anMztL/3cf54+Ix79jYX8XOBe4e+J/3/nXHs6/BwqStOSFQoy5vWSb1SwtSmTU6SXdoCTDIEOpmJr5mW5Q8KtjS7jno0a8gRBGlZTb15VRlBTbEt/XbaN92IlQICDTrKR8glX+jyIQjE1g+6/g8gXpHYvvMIw4fFi0KlaVqShOVuP1h8ifOP6TwjAtTUd9r52VpUnc9OY+2ibGFtPT9Fy5NA+ItDIX5pv59dux0Zh7usZoGXRGC/voETIiiIw61DIxA+MeLl6UR45Jya3v1cc8QB//upU71pVy5ZJ83tzVReuQM868ZnmxhZFxH6/v7KIwUY1eLsITCHHVy3uAyE7tnvUVnJCawrHTUnhsUws/W5bHrk47/fZIkWofcZJmUFCUpIm2+bUKMTpFhAshEMCL2zp56SezuHNdGQ9+dpALF2Szs8M25fcgFAjITlDxxOZWVhQnTqnddvqCeAPBuOIEMO6JFJrFhRbyLWpsLn+UC3H+vGw+rYtM1Q4t1U6bmU6yXkEgGEIjE6OQCNHJxbj9IYSCiHvCkfrz9VVp/OKt/fxkQQ5XL8/nrg8beeCzAzx3wSzOnpPBjW/W0jDpXPzmuFK2twcYHvdG5+tahZj7TqpgaNzLwvyEGA93gQCOqUhmSaEFgAN9NjqtHnptHnQKSYys8vWabhI0Mo6vSGbd9FSufmV3tJV+0oQHvFEljfGRT1DLmJFpwKiSMOr0Y1ZLue24Um7esI8em4cvGgf5xZpiQuEwRUkaUnRSXtrew7OTomeXFiUwK0ePNxDi60k2thKRgMsX57GvZ4yBMQ9PnTMDpVTEfR83cnxVGjmm2AX/d60jHBx0RFL3LOqYDprD5aVhwIk/GCJFJycrQU1lhpGHT6/kT18epK53nAV5Zk6ZmY5cLIzusEtS9JSk6KN/x+fz4/P7SdQpuWBBNj99eTe3vlvHH0+r5P5PDrC3e4yXtnVw94kVmNQSCiY9i8LhMLU9Y7i8AVQyMQox5CUd/ts/FMY9PobsPswaGVrF38cj+nfGv1ru9jIRopxZIBB0A7cSKeivCQSCC4EO4JR/3RH+e0EoFGJQKTCoFJSkfL/oxSyzmvUyIaXJWqwuH8k6OYVJ2piH/HetI1z/xr5oESpN0XLbcaXMzPrbWcn/HXZ1jLK/x05tzxhlqVrKU3UxJKzabhu1vWNsahwiJ0HN4sIEKpLVrJ2WEsNEByidNJfPOCLYoSJNT0WanuVFXh74/GC0qAPs6bbRNDBOklZOv92DRCSM2XEegtsfZNDmYG+vIyau8xDm5RgRCwUkqGXc/n49t64tjZGNHYIAAc9vbeej/f2IhQKuWpZPj81NU/84C/LNOL0Brnl9LwBLChM4e05mDHEsEApzxwf15CSoqMo0cvtaGbV949z+fn20qJpUUs6bl8U5czO584MGCpO0XLIoh6c3t/DzlYWEwmFUMjHBMCSopTx02nRChPndRwc4Y3ZGTL66QSkh06jkV+/sp2XISV2vnV8dUxwzUoicYx1uf5B5OSZe3NYR0/1ZVZbIF/UDrJ2WwqqyJDy+AHmJGkLBMEXJGm59t57cBBV5FjVnzc6grtceI/e7XVrKV01DLC1M4KdL83h4YzOXLspFJhbSO+YhTa/gnT09dI66eWxTC9csz2dNaSInz0gnQS3l25bRaFGHiPb5nT292N1+hAIBx5Qn80FtH3Z3gA27e5iVZeD9fX3cvCaSQCcWCllUYCZ5gkDWa3Pyaf0QD3zWRJpBMeU98Fn9AMdNSyZFLeH+kyuo7bEjFgnZ3DRE16iLK5fkcfsH9QiAy5fk4Q+EePqbNi5fnEdhkgatXEyWQcGVS/N58LMmTqhMo6HfjtcfJMusos/uj/jtT8KXjUOcNTuTVL2CZK08Gppz/vxsXtvZRYpewdIiC3/44iBCIix5jVzMyKSd9jcHh7jsxV3Re8CkkvLwGZXMzjbRNTrOGzV9PLE5okxZmGfm6uX5zMgysiA/gQS1NOIrEQaVXEgwRJzvfK/NwYF+J9taR5GIBMzKNlGZquXxs6v5snGQrS3D3HVCGQ5fALVMQkmyNkZp0T5gZ3vXGPd9fIARp5cVJYmcOiMdX9BKSeoPwwfy+gIcHHIwaPfi9AYwqWWIRcSMb/4T8K9mxZ/+N/5p2f/qgfyHQ6dRMlvzt1nw7+/ri9lZ1vXa+a515O8u7I29dh7/ujXaLn69JlLIbjmmiFyLFq/Xy0f7+3n0q0MGIQO8tbuHR8+s5OiyJFzeAG/U9KBTSrhmeT55U7ijHQmnPxiX2ayUihiwe5ifZ+LNXT3UtFvjiG9yiZCCBDVft1j5+ev7mJFp4JKjcnh2SzveQIjiZA1XLs3n25Zhzp2dzmmzMpBJhBQlaeKY2Wa1lObBSGs2EArz+4nicMe6Um54ozbGD37jgSFWl8WPKKwuP2NuP982D5Oik/HX7zpjdsojTh82t585uZEse7Naxm/f28+JVen8bqIrc+hYHj6jim8ODpNlUmJSSdnTaeOGVYXU9oxNEPSEdFld3Lq2hLs+bKSxf5zHNrVw4+oiXvquk+ZBBwvzzVy2KIeHvmzm5BmpPHZmFc9sacfu9rOyJInanjGuXJbPZS/uir63SCjgibOrCYbD3H1iGQf6xxlz+5iZbYyxiQX44xcHWVOWzC/fruPmNYU8eOp0Rp0+FFIhT25ujeGC9I15UMslrClPpr7Pzge1vXHaeoC2YSfT0vS8u7eXa5bn80Ft5PX2YSdrK5Kp7RmjrneM6el6AqEwDX3j9NndnCYW0W/3RI11rE4fCZO8FMpStRxbkYJGJsbtDyKSKkjVK7C5/HRZ3ZxUnYpRJSMcDvH42dV4/CEe/vJg1BFt88Fh1pQlcdPqAnRqOZVpOu5dX8HFL9REv+MPavt5/KyqOJ4BRBLaMowKfnFMMVe9HCGlKqUiBse9nDs3i7s/Pjxi+tmre3no9Er6x5zkmJUkahVs2N0Ts7AdcfoQAC9u66BlyEFFup43Lp3D2oe3sLl5mBSDgsIEJRqVnMJkHQ6PH5vbj0EhRTXFAri+z8mlL9RE+QLyb9p4/KxqVpUmsar0vx/HtVkjYUiH8EndADKxiHPm/nAcqppOG09tbqN5yMG8XBNJOjkzMg009I5R/D03S/8/4N+xFf8j/hdhd3nZe8RMECLysr8XvXZ33Ax444EhzpqTSa5FS8OAi2e+bY/59367h4ODTk6dmU6GQc5pE9Gnxcla9nXbaB10oJYKsfyN+FifL8S8XBP7Jubt58/PQi4W0W93U5VhIMOoZE+XjcsW52JSy/i8YYBsk4qrluVh1sq45o3ITnpnh5Uhh5cLF2RTlqolz6ymx+pkSUECcrmM6gwD/TYX168s5OpX9kQflMdWJJOboGJJoYWDg4fnrt1WN15/OC7kBSBFp4gjBGaalPTbPdz0Zi0f/HR+nFwQwOENoFOI+bRugMFxL7esLeWJTa0xev1hh4+NjYOkGeTkJCj5xdGRYtA/5uGmNYX84fOD7O+NfMcysZBHz6zi4hdqGHb4uPujRu5ZX45EJOKNmi6MKikXLcxhT5cVp9vPbWtLcHiCnPfMdubkmNjcNBTz3sFQmBe3dTLq9KKRR6xrQ4Tpt3t48JRp6JVSrnttL6MuHyNOH0uKEpierkMmEZFjVpKml1PfNx5H8NQpJNR0WHn6mzZkYiE3ri6assMyP9ccTV2bXB9XlCTyYW0vvzymmMe+amFv9xjHTUuhIk3HqMvH4LiXcY8/WmSdE/LGQ25xiwsTuHuCnyERCbh3fQUnVKUhQIBZLWN3l42bNkQcFEVCAb8/eVqczelH+/tZXmxhwO5jVo6JN3bVx4049nXbmZauY2/XYT+CBLWMLJMSm9tHgkrG42dVR8cV5am6GJfIQ/hwXx9dVhcGpYTKTOg8Iov9qXOqufvjA4cXxFs7+MmCbDZcMpsTH/+OjY2DnDs3kxJVZGeulktQy6duW7s9Pl7e3hlDAvT4Q3x5YJDZWQbksv++3d02HJ8Y+HnDACdVp07x0/8zOF0uGgY8XP7XXVG+QOeoi8WFCWjlYqoz/3kKoX8Ffizs/8ehVco4Kj8hWhAPYXbO39+Gn0x+i309hMcXAMJcsSQXTyCERCRkw65uOkZcBMMTu02tErNWSUu/nY0HBumxufmsboB0o5JjypOZlxdpm9X1WGkectE27CRVL2dpkYV93WOY1TL2do2xqzOim35rdy8nVqZy94llJOqU5CYqOHdeJhqZiCyzhoa+MZzew+SvjhEXj37Vwk2rC1lRlEDBJKONvEQNeYkauq3j/OW8mXSMONEqJKQb5OQlalla7KfH5uaj/X1IxULOnpNJqkEejQs9BINSwqjTy10nlHHnhw3Y3QHSjQp+eUwx10+0678+MMhx01Jo6IsNY1lamMBJf96G3R1gWZGF3R22mDjMQxhyeFlcaEYkENJjs/P0eTOwu/3U9dqjRR0iO8FHNjZzxeIcHvqyhVWlSbxe082cHBNbWkYIhcMMjnvIMqpINShY/9hWTqhM5aY1RTQPOhh1xfMSXL4ACqmIb5pHuGJxJEf8kN1nglrGg6dN49y/7GBVSSKv7+zmo/39qGVirl9VyMxMPQqJiEsX5fDnTZEIXolIwGWLcnlyc2v0mJ/b2s6pM9O5Znk+j21qwRsIsazIgkompsfmJjdBxajLi0goYE1ZEgalhHPmZeP2Bvjl0UUM2L18XNcfdRG8dkUBy4stMa5+j3/dykULspmba+LcZ3bEXOO3vldHtlnF9AwDVpePhzceHnMEQ2HaR+MLFUDnqJs/b2rlkTMqCUwRVrOtdZiLF+bw0f5+treNUpKs5eKjctjdOYJcKuW61/dGxyG/Pb4UkSCycz8SSqkIty/IJ3X9GFRSLjkqB8dnTVFuhscfiutyPbe1nZUliTxxdjVigQDdFAunqRAWENX9T8aYKzIS+T6Yit+RqldM6enwP4HXF6Bx0EN9vz2GBAiwaWIMNFWC4//P+LGw/wiWFCVQ2zPGpqYhBAI4riLl79KPBkNh2obGyTOrWF6cwOcNh1veuQlqskxK9nTbeKOmO+pKJxIK+PnKAl7b2UVRoobXd3axr3uMPIuK8lQdtd1jPDhJh//+vj4eP7sKjy/AtjZr9MEPcGxFEjetLqR3zMOlL+6KObYNu3siKWNCsLuDFJgVyGQyWgfGcHoDnDUng4cmBatIRALyEjVIJLEPm3GXD3fIT5/Nj83tIz9RTUmSBokkcisVWZRcclQOJ1WnIhYJSVRLybZouHVtCS9t62TTwSFKU7QsK0rkF2/tZ1FBAk+cVY3LF0QlE/PYVwe5cEEOvmAITyjM4jwjVy3N46/bO1FIRfx0aR66CVMYgKMKEnjgswOcOSszbjSQb1EjFgo5MOjglrfrMaul3LymGIc3nsHeNuzkhtWFSMQiajqsKKViGvvG+eNp0/mwtp83d/VgUku5dFEu71w+H5c/QIpORl+anrYRJ+/tjU0DPKoggT983sScbCMdo64YD+8hh5enNrdxz4nl2Nz+qErB4Q3wm/fqeOrcGeQlqpBJhDx7/kzqeu1kmpTc/VFjjKSuY8SF0xtkdraBDZfOxekPUdtt5fWaHs6ek8lJ1anU94zxp9MqI4oSt58P9vWxviqVpkEH934Su2D686YWFuSbuHd9BXd+2BB5X6OSGVnGOCkfROb5Qw4vbUN2hhy+OOOi/jEPBRY1TZM6OEuLLOxoH+XgoIOWIQdH5SfwwrZOBETkaG5/kFNnZaBXSTipKpWTq9Mwq6U8+tVBTp2Zyc9f3xfzPvd/coCHz6hi2OHls/qB6I5ZKhKyvMSCTCLEFwhx9tPbEQjgzNkZlKfq+LR+YErzK38wjNsf5OIXajhlRhqJuky+z37Z7Q9HvBImmRABrCpNQvo9C3NugiqmUyEWCrhiSR5GxT9WpjqtLlqHnVMqN6QiIYk6BeLQ1EZg/7/ix8L+H4oxl4dwWIBe9d+vRKszjfzmuGK6RrMRCiHLoCR1irjU/wr7u63s6LDx8vZOVFIx587L4qzZmdzxYSMzMg2cWJWKSSVhe7s1xmo2GArzxNetPH3uTD6q7ePJSWSyqgw9x09Pif1c7kh2e0GiOi5u9P19/awpS54y5QkiOem3f3AAqUjIsmJL1PRnxOlj2OHlisW5fFw3QIJGypmzM0jRHT53nSPj1Pc5EIRCDDr93Pvxgagm97a1JSwqtDBsd/Fdu42aDiu9Yx7KUrRMT9PjCYwRCIapzNQzPUNPil7Ogf5xErVyLlmUjS8QIlknR0iYRJ0yKsOSiYUYlDJOnZHKqtIkguEQv323jpWlyZxQmUqGUYlYJMDuDtBjc3PB/Cze2t2DQiLiiiV5jDi8pOjkvF7TjVom5sFTpjHmCWCYYme0pjwZlVSMRSNjZUkiBoUYrULKiNPHV01D9I156BvzcNWE3/+SCVlaglZJKBzm3pMqeGV7J4FgmJWlSWw+GJFk5ieq6ZtC6VDbM8YNqwp58PODXL44l+ZBB180DhIMhem1elhalEiOSclnDUM88OkBrltZGOPsBxGZXjAYJEkrY2jcx0Uv1GBQSilK1rD54BBrypNwB8L8+tXd0S5SZbqeZUWWOOIXRCRZTm+QYDDEHevK8AdCBMJh7vv4ANetLIjTmydp5WjlEur7HLQNO5GKhDFt9Y2Ngzx6ZhVfNQ2xo93KrCwD5ak6Bse95CaoEAmFjHl8PH/BTGq77Yx7/VSk6vAFgpz55HYgsvB9/Kwqvmke5fz5uXHui3ZPgLZhJ0sLTDx17gy2TnRYzGoZT21uZVlxEvdNWsA8u6WD351QxtlzM/AFwphU0phFy1H55miy42s7u1lSZKH0eyhkTGoZ09O03HlCGS9u60AiEnL+/CzyLLGjM68vgD8URioWIhXHdhmmpRu4Y10pLYMuHN4AmSYl+QkKkvT/mJOcxx+i1+rCrJVTlqKN6VadPz+LVL2cJNP3EPf/f4QfC/v/EtqHxhlx+pGIhRjkYtL/SbaH9T1jHBx08E3zMBatjHm5ZrKMMlKN//WFm2XWkGX+n13cvkCQhl47w04f3VZ31BkMYM9re3jkjCqePKuKBI0UtUJG+9A4Y1MY41hdfgKhEH+ZJO8B2NVp48zZ8cSZUCiM1x+asuUfCRMJk21SxjDkZ2cb+aC2n2GHlzXlyVwyaUefbVaxtMjCX7d38rPl+czOMqKWi0ibiGoNhcI0Dbq4/KVdPHv+LH798p7orqlt2MmdHzZgVElx+YPc9WFjtC3+8f5+LlyQzfrKVCCIVi7BpJIxYHchFwu556Ry+u1ednfaaOgbZ16uCcUkcx1vIMRjXzUzK0tPmMgiyB8MMy1dzzt7e3lrdw/XrSxAKIB39/aSrJNzbEUKOoWEbLOK6kw9Fq2cDKOSJ86p5rrX9lKQqKEqQ89Vy/J4dks7Dk+A1WVJrK9K5b29fVSk6aJBNe/u7UUAHDc9hcJEDW/u6iEUhoa+cTKNSpzeIEqZCIVESJpezm+OK0UmFnDrew1sax1lbq6JvAQVGkW8Z8LcHBNCgQCby89jm1ooT9VxyzHF3P/JARImGOoKmZRAKMzsbBMf1vZx9bJ8ntrcitMXpCRZyw2rCknSycg0qdnc3IrLF8Tlc0fPv0Ii4q/bO2Ouk91dNqwuP2kGRdQO9xBOnZlOOBSKuLzZvajlYtL0Cvb3jdE+7OSWY4p54NMmxr0BErUyrl1ZgEUr5Z6PG+kf83DtygL+vKkFm8tPsk7OjasLGfcGOa4iiZIkLZubh/nJhGNgSbKGddNT0chFXP96Ld0TxywQwH3rK6LjgGAojMfn59WL59DQ52BRfgJfTZK7iYQC8iwqPm4Y5PefHkQlExEORxarc3KMfHUg3gbkk/oB3tjVw9lz0vnDadN5YWsHBwYiUrbjpqVw4XOHRw4jU8g//xYKknUY1HKWFVoQCCBRF+tot6N9hG2to+zpsjErK2IzPFkpA1CeaqD8B2LAH4JSKiJRp6B50MHJM9JZ6fYx6vQzPV1HRao2ep//J+HHwv5PRigUYnu7lZqOUdy+EGa1lGS9gnF/gJJk/Q/6Xg6Xj+/aR2MK7Os7u/nDadP/28J+JNqG7HRZvezrtuEPhqnM0FOZpkanOrwC391p5YVtneiVUna2x8q/wuGIrWhVug71hKVlokZKpkkZRxgrSFQjl4imZAIfCa1CTKpegVIqjFt965WRgjYzy8CSQguv7exmT5eNebkmlhYl8Jdv2zlvXja/eic2IrZt2IlWLsbq8vPclg5mZRtjbvZhh4ftbaOEwtBtdcW1XJsGHFhdPvrt3mhRSdTKEAuFdI86qe8f56Y3IwlxAgH8bFk+C/ONDI77eHxTK7sn5pybmoaYl2tiebGFzxsiD+TBcS8Ob5D+MQ++YIjbjivl64PD0Xn9GzXd3LCqiKe+aaVvzMOuTis/X1mAQABv7+nF7QuytNhC25AzuusOhcMcU5HMQ6dWopSJaB0ap2XQQXaCEgizt8sWE0G6YVcPVyzJQyER4fYHMamlbG+3cnDQEbHlzTHy9Ddt7O0e46KF2fxidRFWt48XtnVw63sN/PnMSs6fn8XzWzsIhiJa7fPnZ3HR8zujsq193WP02tzcsa6MNH3kemkdtFOYqGHttGSe+bad13d2ce7cLIqSNSTr5bywtQO5RMSasiQsU8xInd4AXaPxATQuX4BErZQbVhaxuXmIjhEX8/PMzMg04A2Guf2Dhqir3fJiC69eNJcTH9vCHceX8qczKqMpeya1lHAojNMbpHfMwxNft7K+Kg2FVESmScFTm9toG3byp9MrGfcFoi5sEAkOen1nN9VZ+mhRh8h989imVq5cksdNG2r5w6nTsLoDfN4wyENfNHPF0jyEQgEef5CF+WbKUnQ4vAFGHD5C4XBMnGuPzc3SQktcezzdoOTj/f387NV9PHveDG5YXYDLG2JgzMW5z2zH4w8hEMDDp1ciEgr4qLaPTJPye0lsEzRTdwjre8e4+6NGajpsAHzRMMjSwgR+eXQxuYn/3N3ymNtPYaIaAdAx4iTVoGRWlpEkrZSshB82GfPfBT8W9n8iekaddNncXPxCTXRnIJcIuXFVEQqxEJJ/2Pfrtrt5ZBKBByKFoal/nMp0PYr/AQmlY8TNVa/uiR63WCjg8bOrWVYcKextQ+PU943z/r4+jilPQjsFyUYjFyMXH9bLK+QRZu9vjyvlgc+aGHVGZtS/Oa4UjUzMnBwj2yaZviSoZeQkqLl9XRmf1vWTblCyuDCBgXEPl7xYxysXz+HZb9v5pnmYkmQtVy7No8AckeeMu21cOD8DkSibcU8gaiM67vHHmIccQnCiWldnGdBPfJaeUSdKqQhvIBj9HFM9uCwaGTqFhAF7JJ3rwgXZtI848QfDnFiVysXPH5YAhcPwhy8OMjNrNi5fMFrUD2FLywg/W54fLew/W57Pbe/VUz9RyFVSEbceVxp1E+wYcfHnr1u4ckkeFWk6ZGIh7cNOLn9pdzQK9fltHTx2ZhV/OHU69396gM0Hh9l8cJgMo5Jb15Zw04Y6ZGIhly7KprwkKS7KFCK+AwWJagbsXpK0ci5/aRfOiZnlC9s6ePDU6ex4ZTcPb2yhMkPP5/WDfFYf+QyXvrSbny3L5/kLZuH1B0nVK2gfdkSL+iEMO3yoZRFf+roeG980j7C1dYTpaTpuXVvC0ET6mdsfxOkNopKKeXlHF2/v7uWpc6u5dkU+/mAYnVyCRStFLRNzdHkSb+2OTUdUykRY1FKyzEq+agqRblTyZcMgy4osPPF1a4xV7ecNg6wqTUIsEvDyjk4uW5zHLzbUYvcEUElF3Li6iOtWFnDxCzWMOn08/U0bAgH86fTK6KLT4fWz/whyKsB37SMUJccXNavLh0IqQioWIBYJ+dU7dfx0aR6+YIi3d/fw62NLeHFbB/d8fACLRsa1Kwpo7LOzviqNv24/vHhweAIsLbLw0f7+qCpjbo6RRQVmmgfHGXJ4qem08fjXbSwrSaAkSUeqXknLkINnz5/FHz5vYndn5PosSdbwm+NLmZn1X1tCA3j9QQ70jzPi9GFSSShJ0dE56ooW9UP48sAQ58zLIjdRQ+uwnYMDTjYdGMagkjA3x8ScHNP3Nrf6r1CRpmdvl5XKTD2FSRrkEiFpeilqRbxH/n8Kfizs/wT02Rz0j/lx+YL02NwxjGuPP8S2tlHMainBYAjRD3DhHkI4zJQEkVCYw3FjfwPNg3Z6rB6kYiFZRgXftozGtCkDoTDPbWlnVqYOjVLOuDeAdYIN/XHdAA+cMo0dHdboblYjEzMv14T+iCzkinQDWrmYoqRqPP4gBqWEFL0cvUrO9SsLeXtPL5uaIgSzc+ZmkiAXs7rYxMI8E1anD5FQwO4uG1kmFU9+3cZNq/O5cmkuaqmInjEPQ84AGhWUpemp6RhFKYWb36qNyvce/aqF46al8Pokb2uxUIBUJKI4WcOJlanY3X4a+gfoGHVFCk2Civl5Zp75th2XN8DZczKjBiJSkZBfHVvCtHQD/mCIS47K4Z6PD0Rnrck6OQ5vhPGeblBS3xdh5g47ImztqXDoq8o2KTEppdGiDhEJ1rt7epiTY2LrRASszeXHFwjRMjjOA58dZHVpUrSoH7ount3SjlEl5fpVhdzzUQO9Y17WTU/B4YmMRh49s4r6Xjs3vllLlknFLccU89CXB6PXQEmKlnSDkuJkDW/t6Y0WdYiMCN6s6WZGZiTBze4O8FlDrNzxD18c5IL5WbSPOLlqaR5qhSQu5hQibdPOYRePftXKB7URQt5XB4YoTtZw9bJ83trdw4aJbsLx01O5c10Zv3x7P5sPDvNhbR89Ng/FSRpOm5XONa9t4a4TynF4gnzeOIBBKeWKJbkkauRsabWSZlDw8xWFtI+6MCilSEQC9vfGF+COERcZBgXXryrkp389LHF0+oLc+WEDT55Tza+OLeH1nV2YVVIuWZxLy6CDk6vTeG9fL25/iDxLfLu3LEVHQZIm7jysnZaMXCzkufNn8v6+iL3xgN1LZYaeC+Zl8eyW9qicb3Dcy81v1XLH8WXsaLdyxZI8drSPUpioJtWg5KpX9nDazHQsGhm5FjWf1Q/wu48OMCfbyNlzs2gbdrKtLbKA+smCLO47qRzC8E3LcLSoQ6TD8EX94H9b2J1OF1s67Nz2bj09NjeJWhm3rS39mz8fDsPGxgH2dY+hkIpI1st56IuDvLitk8fOrIz63P8jEIuEVH+PBcl/En4s7D8w6npsfNE4yCMbI/KbslQt168sjDGPGHF4MagkP2hRh0jgyTlzM3lsElNcLhFSmKiJmd0eiZ3to9zzcSM72q2IhALOnpNJuiF+NTvi9OEOhLBbXSRrZKRMzNCCoTBPbmrlodMqqe0ZQy0VUZ1lpCRxagJeVoKGrCnu1+osI8WJKs6ek4HXH+DW9xpx+wOcPjOD6kw9lZlGDg7YqcrQU5muI9ukwh8M83XTME983cp9J5dj9/jZ22nFqJZQnWnkk/19MZr8g4MO5uWZuXBBNu/u6SXVoODyxbmIhLAwv4Isg4yNB0e49rW9hMKRwvzb40uxufzcdWI5Fo2Uo8sSWTrhjZ1hVFKaGDkPRYlqPqjtjyFQOTwBfnF0UYQFPehgfVUagVDE2lctE8eNE2ZnG6lM0/PMeTNI1Sv46/bDLm2H0DLk5LSZ6dHCviDPzNxcExe/UINMLIrLn4fIgs8lDnLDG/u4/fhSDvSPs7gwAW8gyF3rIu395yY4DnW9djY1DXHhgmz++MVB0g2KiYzrSJTmVLnfYy4femVklq6Uisg2q2LawhDxfP/qwBDLihIxq6WcMSsjxrDmpOq0iKnQuIctLcNUpOloHXLi8AboGHHRZ/Pwxq7DI4K3dveQZ1GToo8sng7N0hv6x/lofz9HlyXj9AZJ0cm5cXUR6QYFEpGAbW2jCAXw4f5+zpiVwU9f3o1RKeXVi2czL8fEu/tiGf5FSRqEghT8gXCcc6E3EGJo3IvfH+Ch06bTOerm5g21dFvdZJki/gF5CRpC4RCLChKiBTndqODUmelkG+X86fRKHv2qhWGHl2PKk1lTlkSKTsbBQQeJE3yDt3f38MiZldT32vn64FDMMYTDkXjnqgw9tT1j3LSmkDdruqOa+8e/buXOE8q4/f0GWoYcE9eQg91dNn57fGl0Mf7c1g7SjUoW5pvjZHAA29uteH0BZP9F569xKGIyc8iDYMDu5fo39vHKxbMpTtLEuATOyjKgkoo45Ylt0ddSdHJ+ujQSmLOna+wHKez/F/FjYf8BMWx30TTg4PefHZZn7e+xY1bJYvKoV5QkYlD+8CEsFp2SY8qT0CmlvL27hzSDgrPnZDI95W+3nGxODxt29USPLRgK8+yWdh44eVrcTuK0menc+UEjrcMujq1IZnaWkZvWFPLIly3U9dn50xcHufekCtL1CkxTsI6/D5QKGW0to1z60q7oA+fX79Zx57oyPP4Qd37YwK6JnURxsobbjy9lfp6JygwDf/qymR3to1RnGjipKhWbKzBlRORzW9r502nT8QWCnFSVRp5ZgUoZOd7GnjFEwsgu3KyWopVLYtrOZSla7jqhjLl58QQftUIW0+UAIj7sX7dGGd27Om0cNy0FsVCATCTgjnVlfNYwwPa2UebkmEjRyRl2+ihK0qCUCMmZwnVvVWkSFalaHjmjkjDwZcMAXaMuKlJ1fNE4SJ5FHRf8s7wkkUc2NuMNhJBJRJw/P5M0oxpfIIBKKuY37zfEvIfDG8CilfH7U6aRm6Bia+sImw4MMz1Dz+rSJDZMKrAAa6enct8njczMMkTHEXW99uj5L0/VMer0EQrD/p4xFuSbaR9x8fOVhXgCwYiFrM2NNxAiFIZz5mayt3uMebkmxj2B6N+6dkUkkU0hEfFhbR+bDw6xojiRVIOSwfHDi6Dv2kb581lVXPnX3THkuYsWZvNhbT+D4x4uXJBN08A4ywsT+Kh+kMUPfM2rF8+hechJfZ8dkVDASdVpjLl9XLwgk6YhV5RncAgSkYBErZzrXt/HjGwT1762B28ghFIqon3ExUNfHOTZc2cSDAu4Znk+J1enoZAK0Mql2Nx+Bh1+VpYmkZegxukLYFJJcfgC7O9zEAqFWVyQwEvbOhlyeAkEw/SOeUjRKeJ8C0xqKYFgiBGHF4VIRMtgrIZeKhJGi/oh1PfZGRz3oJyIUp2WqkMiEnLjm7UsKbTwZWPsAmJerum/LOoQMZo60ljI4Q3QNuziN8eX8mn9ALs6rMzJMbG0yML1k5zmAHrHPGgVYgQC8AT+syRo/5v4sbD/gBhw+GOY2IewtXWEyxfn0jnq4oL52czNMX0vCcn/FDKJiJIUPSqZmPWVKcjEQrRTWG5ORr/dy+bmobjX9/eO8cgZVTz4eRNuf5Dz52bxXeso70+0R2t7xrhicS6nzUxlWlrEmjNZIyXFqEL5P5jlf9s8RG23nVA4THmqjrk5BjY3D8cR1AbtLqwuX7SoQ4Sd/Vn9IAvzTdzwRi29Yx6EAjCrZfTZvWgVEkwqKYsLYpnERxUkUN9n54VtnSwqSGDaRHZ7z4iD9/f38fDGiNXtvFwTQgExbef9vXZqe+1UpBs40G/H6vITDIUxqSQUJetYUWLhzV2RNr9AAFKxME6m9d6+XrLMSp7f2sHvT57GydWprCxJxOrwEQL0SmmUqFSY6OHyxbk8t6Udtz/IypIkjso3823LCK/s6EIsEnDGrAwEAgHnz8/ii8ZBXq/p5hdHF7OxcYBxT5AVJYl81zpKZbqBZL2cJI2MlIlozIY+B+Fw5MF/5E5fKBDw1YFBPq0L8fGEk+DW1hFWlCTyyBmVPLm5FbcvxLnzstArJNx/0jTSjQo+retjVraJv/5kFm3Drsjcf8TJvZ9EZHxJegUOT4Bem4v7P43M85VSEY+dWcX7+/qo6bRGNflfHRhiebGFU2ak8f7ePrZMcli7dkUBgWCI+Xkmrns9tkAUJmrwBWKVExlGJXKJkBtWF/LAp038eVMrd6wr41fHlfBR/SCzs/S0DDrIT1SzvMSCAAFfNA7w9u4eSlN0lCapuH1dKb98az/eQAiJSMAvjy6mz+rmjFnpDIx5OH9+Nv5gKEKuU0l5ZUcXQw4vS4oj8kCNXMiXjSPc/2lkAZBmUHDb2lKOKkhAKhays32U33/WxJaJbkxJsoaHz6hk1OmjoX+c2m4b587L4p6PG6Nk0wV5JjQyMbu7x9jYFJlbnzQjLSbPQPI3uoMSkZBgKIxWIebqFQWc85fthMNw2aLcmA7DrCwDSwoT2NdtZV+XnU/q+sg0qVhTnsz8vMM+60ZVZKQx+bwLBRFf+oo0PWl6GefNzUQINAw4sE1hbuQLhJGKhFT+QFnsY243nSNeCEN+ggK5/D/LjGYq/FjYf0iEQS2Lb3kXJ2tZWpjAksIEcs0KVH8jie2HgFAoIDvh+7NM9QoxpSlaukZji0+GUcnXBwZ54OQKEtRSvmoaiRb1Q3h+awery5KYm3v4xh53eakddKCSijCoxHSNepGIBFP6MG8+OMSlL9REC6dMLOSFC2ahlsVfluur0uN2lQA72q0syDdHiVjXrCjg4/39vLu3F6EAzp2XxaqyRMrSdLQPO8kyqajONHDBcztIMyhi4lXbRt2T/OsjrlebD8YTyXqsbup6bHxSP8Djm1rxBUOsKE7k4qNyKEhQ8cgZlbz4XScKiShugQIgILKbtrn83LihlqfPqWZa+tQSH5NSypLCBEqSNQgEAjpHXBG/60ka/ke/auH3p0xDrxDz+iWzkYlF9No8nDUnE5VUzLv7elhWbOGz+gG+ax1Fr4iMgUKhMJf/dRdZJhWXLc6NMWxJ0spJ0spYXZrE5UfEvX5WP8DpM9M5oTINpy+AzeXj/X29yMQCrl6Wz/qqdAKhEDs7bDz0RTNKqYiLj8rh/pPL2ddtp7HPzkNfDHDv+nJGnH7ah52cUp3Ke/v6mJNrwh8K0zHiiu72P28YZO20lJiiDvCXb9v4y7kzEQsjOeuHFlBqmZhTZ6bHuIwdXZ6ERSPnqc3tAJwyM53hcS/BUJgNNT0TWnIbYeCdPbFkO6EA/KEQMpmMRXlGXrhwFgN2LwlqKQnqCJlvfq6JDpubF9/tiOrChQK45ZhipBIR7+zpIUkrx+ULcOeHh6/jbqub+z89QKJWRrJWSk2HNVrUITLb/mh/P1UZBp75tp2fLc/ni/p+frY8n2AoTIZRSapezllPb+dnywp4/KwqiixqXHo5d59YzgvbOpAIBSRqZXEL3NWlETXBWbMzKU3R0DFyWPFxwXM7ue+kcs6cHbF2TjPISdfJeHJLZ7Qjubl5hHf39fLUOTOiKXE5Zjk/X1kYE438s+UFZJvkyCUiUgwRrkH3sJNwOMzaihSenxR4IxIKyDEreej0SsqS/3HG+r4uK5sPjvBtyxBLiyzYvVqStTJyLP+ZbPhD+LGw/4AwKkRkmVQsLkzgq4mgEbVMzLUr8tEoRGSZ//0upiS9inPnZlHTYYuygWdmGZCLRby8s5sP9vfz5DkzoqzxyZBJhAgnEcBqOqy8WdPNR/v7uHVtKVuah9mwuwetQsI1K/JZkGMke9IN9Uldf8xu2BsI8eJ3nVwwP4PVpYl4AiGkYiE/++sevIEg1ZkGvmiMMK1zzCo0cjHz80yMOrwIBFCcpKWxbzwqBQuF4Zlv23nw1GnIxUKqMvW4vUFe3dHJ+fOyWFacGNM5GXP7Y0YPO9pHWZhvjiHaARQla2kecsY41X1aP0CKXsE1y3M42pLMjAwD4z4/7cMuchNUtAwdbo2unZYSjd4cGvcy7PTRY3Xh8AQIh8NIxAJyJ85TXpKWz+r6uXIi2nVhvhmHJ37G/Xn9IA6vgYo0PZ/UD/DIxsMLlN+fMo1b3t4fLZR/+badXpubK5fmMuzwMezwsa4ymd+fMo1vDg6TYVIyPV3PI18c5JqVhXHvNTPLwMamIV7YeviBfNGCbEpTtLQNu/i8YRCtQszsbCNnzsnggU+buGlDLY+eWcWKYgvnPrODUBiue30fBoWE9y6fQ6fdx+bmYZ7+tp00g4LrVhbw2Fct0Tn9VP4HNpcfjy/AvPwEblgp5oTKVMbcfjKNStpGnGjlEhK1MmwuP/kWDX/84vCI7Lkt7Vy1LI9ss5Lzn63nlYtmc8miPHZ1WDEoJTHt5OOnp6CTi6nrsZJt1uDwOrC7/fSPeXj6mzbChLn0qFz8oVCM2UsoHPGGb+of55Wd3RQkqjl7Tmbc52jsH2fM7SdFL58yt2FHu5UzZqUzN8fI3R81cmxFMh5/CKc3QFmKmNd2dvPM+TNxeYN0W924/SEyDAoEgjAL882EwmEueHYnj51ZGe1WlaZoEQjggc8OcsWSXJr6x+Na39e/UUuKTs79J0/j9ZoeVpYkxiwoIeK+1zzoiBb2RJ2ao0vDFCVp6Rtzk6yTk21SkmyIJQ/W9Y9jc/mYkWVAJBLwad0AZrWUi4/KoSJVi0X3t0Orvi+CwRD1feO0jThYNz2Nuj47XzQOMSfbyFEFASoz/n7b7H93/FjYf0Ak6lUMO/2cNy+TNaVJBEJh8ixqZuf8ezMy5+aaefLsKtpG3IRCYYYdEaYtRJytmoccFFjUmNXSGELUpYtyKZ3YiQ/Y3Dy3pZ139/ZSla5nT5eN1yYK4qjTx6/eruPPZ1XFFPbhKYJRcixKhhx+bn+/gc5RF8VJGn53UgVuf6Swr61IpjxNz/6eMeweP3kJakxqCeur0qKt4yOxp9PGW3t6YubfD59eiUV9mOfQPhyZ4V65OJcBh5ePavtpH3Gxbnoqq0uT+KS+H+WEo1uRRcXbe/u4aGEWs7JNDNq9JGrl7O+20m/3s7fbgUUj5dGvWshNUHPm7Ay6rW66rW4KkjT0j3nYOyF/Mqmk6BVS7v6oka8ODFE0wf72BWwUT2RcmzWyqBRw2OEly6SCIzh1Zk0kWS5RK+fJr2Mfvu0jzjiuwaf1A5w5O5MEjQy3L4AAAUqJkLNmZyAUgccX4oFTK/AEQqwpS+Kj/f3R3z2mIpn63nGuWJLH9rYRdrRbeWVnF786poQb3jzcEn93Ty+/OLo4utD9tnmYyxZl8diZVfiCYdIMcpyeAFZfiBve2BfdcXdb3dz/SRMXLMjmkY3NLC9OpCBRHdfiXVyYgEkt5cN9vYx5AiRp5eSYlWw6OMSDnzXz81WFnDErE4NKzOf1h6+LlSWJHFORjEggwKCUsjDXiEYmYkf7KK1DTm5dW8q4x88r27tYUZrIgjwTm5qGqczQ81FdHy9s7eDChdkkaGT8fFUh/om2+1SEsxGHL+py5/QGMajiuTXpRgU6hQSZMGLc82Ftf8y/V2VEctgvX5JLp9XNm7t6It75i3ORi0WcNzeTHR02fvv+Yf+Kebkmbl5dxB8+b6Zvopu1u2uMv3zbRnGyho9q+3H6IvfDiVUpyKUidnVZY75riUjAz1cV8uDnTexotzInxxh1pZuMI68to1qBVimmJFmNiDBGbWyRdnl9vF7Tzfb2EX6xppj5uSbm55jQq6TkJyjRqX6YjqbHH+TblmGWFll4ZGNLNHlxa8sIDX12frZcRFHyf06i22T8WNh/QAiFAsrTDYy7PPhSwsjEwqg5y787pmcYEQhsnPHktphdNETkYDOzTTx8eiXfNA/TbXWzqDCB4knGEr12T1SedEJVajT6cjLqeu2sLjss3l9dlhSd3R7C/Bwz5z2zI3oMDf3j3PjmPh4+vZIzn9rK8xfO5vxndkTnwV8dGOLOdWWUpmhQSMRYnV4+a4gt7kaVNG6XO+b2x3QhRp1BtrSM8GFtHwkaGVcuzWNbyzClqVqWFSVw7rwsGvrsvLqzk33dY1y+OJuNB4a5aMJJDODG1YVIhUJue7eOG1YX8u6Ef/opM9KYnW1keXEi9b12Hpto9yskIu46oZw/fNbE1xPa8R3tVi57cRcvXjgz+ne3tY6Qm6BmZpaRXpub5SWJfN00FD1HZrWUBI0MqVCI0xuMSwsTTSF1VErFiIRwSnUqFWl6nvi6DYc3wOmz0pmWpqN12IknECLXKOcnC7OpSNPxbfMw83PNmFQytrS00WNzsyg/gWtXFHCgf5wnvm6NeQ+nL0jnqIuqDD1fHRjCrJbx56/beHFbZFWSZlDw+5On0WfzxPEQ3P4gWrmYG1cXUpSoIduk5KHTKrn/0yY6RpwsLbJwbEUyv3irjpqJsB+FRMSv15ZQlWFEKhLyl2/auHJJHnU9dtKNkeJy5uwMnN4AV7+yB4AZmQYuWphNt83LZS/VRBcOxUka7l5fzo72US56oYa7T6ygsd/Be3t6WJCXQMugk9d2dEVHQCaVlLvXV8Sd51WlSbyyI8L877G5CQVDnD8vi2cmFAgqqYgbVxXxwb5ejpuewpjbz8J8c3QEND1Nz8ICMwN2L9kmJUflm1lebIl0A2r7ebMmEnd8yIb4ELa0jNAy7OD0mekEw2Ee+rKZVL2cS47KxRsIsiAvgfYRJxt29SATi3h+ayvzck3s77Fz7YoC/MEQYpEAs1oaJdY2Dzq4aGE29396+L10CglauYRQKEzz4Dhtw04SNDJ2dlh5fWc3Grl4YgOgJnVi1x4KhwmFQ9jdAW7aUItWLkYiEjIv18yfzqiMO4d/L0SEqUw3YHX5o0X9ED6uG+CUGek/FvYf8f2hUf7zZuj/TJSlaLhoYQ5/mNSyTNbJoxrcOblm5kyap0+GRChAr5Aw4vQx6vSRZlDERZWa1bG7lZJkDXesK+Ppb9oIhEKcNy+LLqs7bmHRbXUz5PBSmKRhV4c1juT1zJZ2HjuzilGnjwsWZLO3eyz63ksKEwiFY9n9MrGQLJOCcU+A9/b2kq5X8M6enqjbWrfVzT0fN3Lv+grEQggBl79UE23PHuh3sK4yhYeOWLz8/rMmpqXrUYqFmNRS7j2pAn8ghEUr43cfNjLs8PLihbN57vyZDDm8mFRSCMPXzcOsr0plSaEFfzDEmNtPh9XNtENuugIBXzYOMur0YVRJ+erAENesKEAuETHs8OIPhnlkYzN/OW8mVqePLJMy6oMPkUVMcXJsfvwF87MwqaUUJ+toHnJwxuwMBsc93PZePb9eW8Izm9vosrm5cXUhJ1Ulk6FPpipDTygMZz29PUrc+qppiFA4zIJ8M3VTaMDDE+feqJKyIM/EbybtKrutbt7d28PqsmRk4njyXoZRQaZJxbbWUVqHnZSkaPnT6dPY1DTMZ/UDDIx7o0UdIouBN3Z2ccWSXG5dW8xL33Xx2/frqc40RGbTDYNkmVXc+cHhGffODitnzk7nyc3tMd2Ahv5x6nrHeXFbJ78+ppgPa/tYUZzIvLwEXt7ewcrSpBiDnRGnj33dVh47s4qHvjiI3RPglJnpdI44yZ9owQsQsLN9lPXVqczOMTLi8KFVSHh4YzON/eOUpeq5/9MmlhZZ+NnyfMJh6LW5sTn96FUShhzemNCjQwiGwjimkCD2jXnos3uo77Wz4bJ59Nrc/H5DbfRemJVt5IZVhaQZFAw5vGSZlZQk62gZctA0YOfEynSe2twWSROsTiMQCvNl4yDXrCigpn2UVIOC5cWJeANBesdcfNk4xLxcIxubhnhwkjLokhdreP78mdHCrpbLOLEqLcq6t3sCCAQR/f4PCblcyrQ0LQcHp07Zm4q495+CHwv7j4hCJBKxojSRVEOENJZlUrIg30x15n8/iypL0/OzFfn86u06Hv+6lftPnsY1r+6JPqxzE9SUpsRyDAqSdBQk6VhaaAYhpOhUbGwciPvbMrEw4mwXFkxJRou8Fo6OPJ44p5oD/eN4/CESNTK0CgkrSxLZeGCQvAQ1587LZNjp5+YNu3D5gtHwlCP/5pDDy5wsA3t67HESHtsEG34y/MEwVqePW9eVce1re6KERLlEyCNnVPHoxmZkYgEL8iPaXK8/yNdNQ1y3ooDeMTdXvbKbUBgq0nT88uhi+q3jtI54MasiqWq+QJC/fNvOiNOHyxdgfp6Rbw6OMjTu5dEzquizeZBJBPzq2BIe/aqFmg4rRYkaFuQnsKYsifo+O12jbkpTteQlqHh9Zze5Fg0auYRRl488i5pb1hTx6vYurlqex/Vv1PL7z5qYnq4nSSvj/k+aOKEqNe5zb24e5upl+QgQxBDDpCIhZalapCIhD54ynY0HhlhaaOGnS/N5+MtmanvG2No6yhmzM7luZQF3fXiYcHXKjHT+8m07C/MTortRtUzMn06v5J6PDyCXCFmYH6txVklFHD89lee2dlLXO8bsbBOrypJ4Y2cXTk+Ah0+v5OUdnRyJUFgwZeztiMPLZYuyMWvk9I15+P1nTfxkQTZGlWzKn/+2eZTTZ2bwyBnTsXuCeANB5uUY2NU5xi1v1+HwBjimPJlAEH7zXn20RX4I9gmzoC8bB/mudYQ15cnolRFlx4bd3Vy+OC9OxgiRRdP8XBPfTiLdySVCNHIJA/bI2GfM5eOuDxtjFrjb20Y5e04mhUla/nhaJe/t7eWlbZ2IRQIuX5yLRSPlmhUFHBxw0GV1k6pXkGpQ8MiXzZSkaGk9OEyiVs7CfDMHescRCiOf4YMjfADCYdjSMsrCAkv0tUJLhGT6Rk03IqGAk6vTKfonWMtWZ5kQCoTkWdQxu/Y1pUn/I/XO/2/4z/1kP+LvQmmKjtIUHSfPSP9eP98+7MDjD5Kul7Mw18TjZ1dxcMCBSBDm6XNncHDQgUIqIt+ijlsg1PXY2N01xoZd3RhVMk6flU6mUR7j7AYRW1WzWkZ+oppp6fq43d3587PITzy8aJiebmB6ugGPL8AL2zq586VdzMwycOGCbALBMBatnGtf2xudDQ6OR2bkdk9suy5BLQPB1EoHpVSEVi7GPqnFb1BKSNDI2N42GqMy8PhDPLelnTvWlVGQpKWh14ZIKEAlFSOe0EE/MKmVuq97jNdrullXkcxFL+7C7Q+SZ1Fz+qx0Ll+ci90TYF6OkTV//JZZWUauX1WAPxTijW+6aeyzc+asDC5dlINSKsKglPBZ3QBz8kzkmNUkqGWoZGLGPQGKk7U8+PnBaBtcLBTw2FlVVGfoSTXIWVOayHnzs/AHw7yzt48F+Wa08vhkuEPnSSMXcc/6ct7a3YNJJePEqlQSNVIGx31c8NyO6IJALRPzwCkVXPLCLubnmQn4g+SYVTGa9m2tI7QPuyhMOtz1cXgD9I25kUuEePwhtEfEeZ43L4sd7aOIhALGPQE+qO2jb8zNn06v5PQntyEQCLhuZQFvHqHBHxx3c0x5UpwZULZZhU4h4o+fH2RnR6QzoJKJsbq8rChJ5IsjRj7Liy1oFRJSDJG2/4F+Ow194zEM8Xf39mJUSVk3PZnHNsVyIVL0chQSERlGJSdUpvLidx2MOHwEgyFOnZmBwxvglqOLcfqCvLazi26rm6PyE3B4Aly1LB+1XMzXTcPkJKg4f14WqQY5O9okyMRCEAjonSJlb8Thpa53jL2dNl7f2YUvGMIXhPs/bWLOpXP57Xt17Jvgg6hlYn59bAlLixKiI7Qeq5sXt3Vw9pxMvvi6leIkLWrZ4WtkWpoOpUyMTinG4w0gn1C85CfpyE/SsTjfiFAoQiGLv65+KFRmGrh3fTlfHRhiV6eVubkm9AopFWn/mW14+LGw/4i/E4M2Bzu7xnn0q2YG7F6Om5bMMeXJrCpNZtWEg+Sw3YFGJmbU5WPcHaCu20ppWkTWFQ6H2dlh5dZ3D7dmv24a4slzqzl9Zjrz8kwMjXtJ1StIN8jJtWi4cXUBvkCIP59Vzfv7ehlx+jimPJnBcQ/7uqxUHCEZa+wf56GJscKOdmt0VjgjyxAjhfqsfoDrV0UkOoeKT55FTW6Cil++U49cLIxROgD0293cf/I0bnu3jt4xD2kGBb88uhivP0ivNf4B2jnqQi0Tsb/bhtMfpG/Mi1wiJEUr49vmkbif39oywrrpKVEzlOZBBx/s6+Po8iQO9I8zbeKhtL19lA27e1hdmhR1ont4kmTvj6dNJy9RTV3POL/7qCHabr5gQRYpOkXMbDsQCvPoVy1cvTSffpuHM+Zk4vGHeH1nF+9PELpOrk5jQZ456icvEMDNa4qo6bCilonJNim4dkUBVqcPsRBSDUru/eRgzC7f4Q2ws93GuXMzWV6cyHGPbeXdK+by0Jd97Os+7MJ369qSGCY7wKYDQ1y5JI/7P23i4/393LymkD992UJBopoMk5KvDw4TJsxVy/L5snGQmg7rhFucILqQm5VtZPuExjvLpCTfomFGlgmHN8AHtf0YVVKuWJyLVi5BLRfR0GfnrNkZGFRSVDIRdxxfxqaDw5w5O4M3aroJhcOcMiPCWp+sFh91+mjos3MkPqzt409nVPLevv7o+T+6LAmTUsYvjikiHIZfv1MX/flntnQgEAioTNcx7g0gEsK968sZdnhJNyopS9MzbHNx8VHZHF2ejEEp4ZGNzXzXZiXPEslayDEp+MmCbN7a3RMlwAoEkXGY0xvA7Q9y5ZI8Mkwqbn+vnkGHl6aB8WhRP/S9bdjdzbrpqdHCnm5U8vTmVtIMSm46uhiRKKIiGLB7uGBBFt8cHMHh9ZOgjqQaZh4RuvLPlP5ORlWmkRyzgjXlyQRDIXIT1P+j7Iz/3/Cf+8l+xD8V9QMurnp5dzTc5OlvIjPKNIMCi1ZB94iDjU3D0cz0EypTI/p0AZSmGqjpsPKXb9tj/qYvGKJlyIHPH+LpzW2MOn2cPjuDJG1kNp+sV/FpXT+XvljD0iILyToF93zcyIULsmkddlKRbqBjIlwkTMSv3uGLnz2qpGKMKmk0DMYbCPHitg6ePLuaPd02VFIxM7MN3PvxgWgozYlVqVy3ogCRUECyXo5BKaFjxMVNa4pQSkX4gmFufbeONIOC9dVpce+5tiKFXd1jJGrk3PJ2XbQteHJVKlVZ8Rr28lQtY57YGeCuThsnV6fTMOE3H329w8YpM9KjO1mFRMjlS/JI1inINip4r7afd/b0xsyQP9nfz7rK1Lj3HRjzoJWLeW3nEB9OsKPn5hi5Znk+D35+kNdrurl1bTGnzUzD7olkZqulYmxuPw5vgNd29PDO3h7CwNqKZEwqGTa3D61CzNFlyajlYr5sGMTu8XH6rHROeHQrapkYlz/E3SeUU9c7zrjXT55FzbjHH/M5AXItamo6rNx/cgWjDh+5FhXPnT+DwXEfl710OIp3f4+dG1cXRub+4TB/PHU6TYPjWF1+LlqQzSULs3H5g1i0cna2j5BjjszBT52RQZgwo04ft39Qx7XLC7lxdRGPbWqhb8yDUSXl5ysLEAkg3RwxrOkedTMvz8SFz9ewvNjCqTPSqc4yYnP6sWjjybNZJhVv7epmcUECRrUUkUBA27AzIj/79ADnzs2O+523dvewIM+MTCxk1Onns4ZBFhUkkKqP3BtmvRKzXolWbuei52uiHIvmQQe3v1fPA6dMo7F/nBOr0pCIhLxZ08X1q4pw+oJc+uKuaAdMIxNz70kV3PjmPgbs8aqV1iFnJKBGJOSUGWnU9oxRmqpjZ4eVwkQNt7xdy1/Oncltx5Vw2Yu7os+HHe1W7lhXRoY54sdwJJr77XRa3QzYvaQaFOSblfTYvbQMOZCIIg6M0/+G18P3hV6lQK/6zw1+mYwfC/v/YQRDYcLh8N+VoNQy5IjetIfwRk03J1WnYtEqqOka41eTdh1/+OIgN60uon/Mh9U1xBs1XUgnva9EJKA8VU+uWc0Fz+2M7vDu/KCB61YWIBYK0MglPL+1nVCYaPoZQK/NQ4FFw+6OUTbs7uXdvT3cua6czhEnq0qT+HiSVEshEdEy5OC2taXc8nYkpUsmFnLhwhykYgErSxIxq8S0j3pikuYOWajec2IZ01J19Nk9ZJki+vSajlGyzCpun5itF1jUXLM8n2e3tOP0BjmxKpXyNC33fdJEaaouZtb3+q4eTp6ZHsOETtTKOHNOJp0jLi6YHwn9CIUju0utQszBQQeqSeOBygw9GrmIny7N5/19PVy1tIBHvmqmc8TFipJE1lWm8uTmw21fiUjAzCwT1RkGfrIw4pl/iGy4viqVmk5rtKgDbG0dZXq6HotGxuC4l8Y+B7kVGp7c3EZj/zj3nVzBluZhipK1vLXncJv73b195FnUXLEkj4MDDl76roMxt5+101I4riKZEx/bikYu5jfHlZJpVOILhEgxKPi8wc7rNd3MzDLyxNnV3PjmPryBEOur0ui1eVDJxGxqGmJxQQImlZR+uzeuvQ7wXesovzqmBJ1Cwlu7O9iwu4eyFC15CWo0cjFmlRSP18+yQgu//bCRLc0jyCVCVFIxVy7NI8ukos/u5rGvWhlyeDltZjrJegUdIy7KUnW8trOb7yZ2/kaVlCfPrsLhDSISChi0ukg1yAkSpiBRTdNA5DuXiYVcviSXC56NaPkX5Zs5bVYG6UYloTCcVJU+ZV5TklaOUibi0Y0tUb/657d28PQ51djcITqGXRErW5kohjgJMO4NUNszFk31K07W8PjZ1YTCIR7f1BYz1hr3BtjRPsq0ND0lKfG+G0uKLJjVUi46KodP6/oZ9wT4ycJs7viggYsX5hAKRxww63rscc+HF7Z2UJ2pp/gIJnr7kIM39/RG1SICATx5djXXT/KczzGruGd9OTOz/72lw/8u+LGw/x+ELxBib5eV/b12xlx+SlN1FFqUGNRyeq0uum0eeqxuzBopWUYlMokIjz9IglqKNxgiQS2bMlTGqJIiFkaK9buT3LuePX8G/mCY4XEfErEQfzDIp/WDXLkkj3s/OcC8XBPz88xsbRnh7T293LymiMcnxWe+tK2TPIuK0iQN41OYs/gCQQoSVXzZNMwL2zq4/6QKbnuvjmGHj0sX5XBSdRqbDgyRk6DiiiW5GJRSPP4Az5w/k6FxL6FwmPs/PkDriIssk5LfnVjOgN0Ts6s/BJFQyJPftHHxghxe2t4ZY9iRblRwz4kVGBQSjpuWzKwsI4FQmL09Ni5+YRdrK5LZPYnFfQifNwxw+eJcTqhMRSgQEAqHuOKvu7C7A+QmqLhgQTYvbuvg56sKeeLrVk6uTmPvhGY6N0HNWXPSeWlbF3kWNTevKeGi53dGH9Zv7urB5vJzzfI8Hvy8GbFQwE1rinh5exdv7+lBKxdz2eJcPt7fx/R0A0eXJ8eoIg7h25YRipI0DI57ObEqlYue3xldFBGekHJNca1tbBxiVraR+z897Gq3v8fGqhILW29YQtuoi0yjkmS9kvoeG/d90sierkj7t6FvnC0tI/zlvBlsbBzi7T29zMs1cebsLPrHPATCIZ7d2kFtt52SKeJPjSopy4sT+K7NyobdPSwpNLOsOIlfvlWL0xckw6jg1rWlfLh/gJ8uzuWMGek8s6Wdmk4br+3s4rLFuTQNOBhyeDmhMpWDgw5e2XF4Dn/pohx6bBF/gnSjkm1tVryBIDaXn4V5ZpaXJOLyBbluRSFWlw9/MEy+RY144tb55dFFCIUCrnol4mevkIh47KxKxlwBss0q2oadE9ecgMuX5LHl4EhMCE0wFOYvW9optGh4cuI6fP6CWUhFwjjJ4+TFe0PfOE0DDkqS1Qw54pnhww4fp8xM56/bOrhpTSEPfdGMyxdkebGFk6vT0CvEpBsUrClPwu4OcN8nBzi2IhmX18/vTiynNFUXl+4HIBEL8Afi2a8dVhd/3nR4fFScpOWNXT0xhNXWYSc72q0/FvbviR8L+78ZdndYaRly0GNzk2VWkZugouwH9pWv7bFx3ev76Bw9vLK/76QKsk1K6vvHo/O9DKOSK5fm8cw3bfTZPRw3LRm9Qkqvzc2ps9LJNCnpmLQ7uHpZPgmqyCWVpIu0IB8/q4pvm0d46ps2wuEIW/eO48u4c10pr+zo4lfHFCOXiOiyupieoScchhe3tXP+vKyoxalJLcUfCHPVq/tYWpwYNXc5hBUlSchEIra3jSIWCrC5/dE54p83tZJjVnHyjDRWlSaiV0hx+gL87qMD7Oq08cTZ1Vz64uEWbvuIi/s/aeKio7K4dnk+v3q3LspCXphvxury8fL2LtaUJsUQ/ABc3iBKmYitbaOIRUIKEtXc8149eyaO98DAONPS9DHnDCDHrEYuFpKil3P7+w1R5zyIJLlduEDFM+fNpHnAwYULsslNUNFv9/LelfOQiEXYnD62t4/i8gcJhsJxsrEvDwxy0VE5ZJv7KEnW8mZNT7RrYPcEuPeTA7x44Sz0Cgk9NjdFSRo+OcJfYFaWkbYRB786toQemztKGox4pgtxeINkGuPdwgoSNdHZv0gIfzw1kgD48MZW5uQYIyMVvZLabhsDdk+0qB9C86CDXpuHebkmCpM0bGoa4u3dvehVErLNKhr7xllRYqEoWcsndQPRgiYRCVg7LQWRQBBdnJ02K5NLX6yJfp+do27u+rCBW9eWMuL0IRQJOWlGOteuLOSNnZ20DToJhSIFN8ukjFNOPL81QhoTCyNkv2e+bScQClOYqCHDqGRPlw2DUkqKXo4vEMasFqNXKRgZd/HWZXNx+IKc85fDpEK3P8hVL+/hj6dO5/6TK2gZdODwBsg2qzEoxFG3wskYdfhoFR2Wc72+s4ufLs2LIWMePz2FbS2xPA5fIMS2Visnz0ijpiN2sbmsyMLVr+4mFILWESfPnT8ToSAiZ82dYK4f+t4PDo5z5wll5CWoCQOVE7kLMzINcYE566vS0CniNwQjDl8M0z/VoKB9OF6i1jnq4uDAOPn/BPb8P4phhydieKT69/At+bGw/xuhodfGo1+1xKx2L1yQTaJGQoJ26gjUvwdN/Y6Yog7w0JcHefCU6dz38eGd1akz07l5Q230wfP81k5Oqk5jT/cY+3rGuHd9BQcGxrG5/JQka9HKRNg9ARJ0cGxFCm/u6onscCe1gT3+EPd+coDb1pZQmKSN7BxStLy0rZNxbwC5RMgVS/Lwh0KoZWIc3gBXLMnjrg8b6La60SkkXLM8n0/rB1BJxZw9N5PtbcOIhbCiyEI4FMZ/xG6lddjJGzXdLMg3YVBK6Bx1RcNkrK7Irl4sEuL2BXmjppuaTivXyPMhDO9cPp+mgXEQREJRrn1tbyR9SiiIIYQlaWXcsa6My1/ahccfeX+zWsojZ1Rx6kQsZdOAg+OmpZJvUXNworAeU55EYaIabzCIUSmLk0BBhLV/xuxMZmeboha+3sAoXzQOUdszxoJcM5ctyuXdvb2o5fG3tEYuxuMLcte6MkLhMGc+vT3m38NhaBl0MuL0kaaXU5SkZfqEeyBArkXFwnwzg3YP2SZl3G7w7T09nD8vi2GnL8Y+N1UnJ9OkjPoS3HpsKX/e1BKNqd3VaWVb6wj3n1SONxD6myMhiVhI48A4t00iWppUUh46vZLiZC1/+aadPIuKB0+dRk2HFYVUxIwsI0laCUqphFSDAoEArE5fnFSsZchJIBSasAg+SCgc8Xi/7bhS8s1Kbn57P5ctziUQiu9HuHxBZmUb8QaCXP7SYT/9AwPjfNM8TF6Cmqvf3UO2WcX6qlQKElTU9zvZ0jxMnkVD+4gzTjpo9wQYcflw+IKcMjOD575tm+CUJLC8OCnO3nh9dRr3TfL4f29fHzev0fLE2dX02NwkaeU09tv5rnWUBLWMIYeXfIua2p4xXtnRxQXzs7htbQlPfdOGRCTkooU5dI66OPRxu0bddI66WJhnpL7fybetIxhVUjKNStZXp+ELBpEIhXFz88IkBQ+fUcnn9QPYPQHm5BgpT9WRaY4vyqkGRZQfAhGnyLXTkmmcFPEKEaJeTbsVny9I6Q8UEPOPorHXRvuom4/29yMVCVlTnkRRopIUw7928fFjYf83QqfVHdfCenZLOyuKLT9oYXdNQSizOv30jXliWn2eiR3gZHxY28fpszJ4+ps2hhweajpG+aJhEKlYxLlzMwkDl5nUzM018+KFs2iewhxicDxiqpKfqMaglPKLt2qj7+vxh3joi4P84dTpnDwjjUSNHAhH2cObmobY0T7K/DwzJ1encf0be/nF0UWIxUJ8wTASkYBUg5KiRDWNA4dn2SfPSEMlFZFmUFE7kc9ekqRGKBDwwtYOnL4gRpWUq5blsfnAMIThlR3dtI84Obo8mcWFCZz51HcAXLkkn7d3d3NCZSqv13STqldw7/pyntnSHn04QaSlubV1hJvXFPD7z5rRyiWYVVJuXVuMwxtEK5cw5vZx4p+3Eg7DO1fM5diKZJ7fGtsJyJ8wCDpU1Hd1jHL9G/uiBfSLhkFOmZHG2opkQmGYnq6L2flevSyf13Z2sazEglEpJVEriyNGJWplPLuljetWFnLZS7s4bloKiwsTCIcji5a/bu/gkoV5CAQh7J4gK0sS+bQ+cq1+UjfAsiILWWY9Fala3P5I8llNh5UHP2/iooU5pBkUqGTimOx5iBAC20fcGFQSJMKIU9vwuJfiFA1f1A+QaVaRYVBwy1v7Y35PJRPz1YHB6C66vm+cK/66mzvWlVKUqMXm9hEIhlHKxSRqZdy5rgy9Ml5SlaZX4PWHeGRjc1TjHQrDHe838NJPZnH/SdPpsLpI0cl5anNbjH3qvFwTo04vI454H/sdbaNcviiS6Ng56mJ3p5VHzqjiutf3sqIkkT99eZC1E/G9k2fReqWEQDDMofXZwLiXtdOSWVwQMS966PRKnvq6BacvxDlzM0jUynH5gmSZFDx4ynTCYfisYYCP9/fyecMQGy6dg0wiJBSCLLMKi1ZG+7CDX08skv7ybTtPnVPNU+dUIwB+8fZ+ajps0eORiARkGJVsbBrhpg210YXRMeXJXL4452+mVCZo1CzKV5JukDPs8PHu3j6e+LqVM+dksCDXRFnaYSJceaKSB06exm3v1TM07kUuFbKiJBGby8/be3qQiIScOjOdvV02PmsY4MlzZlA65bv+76Nl2MWVL++Onpe3dvfwxDnVPxb2H3EYLm98/nAwFMblj3/9H0GuRR33QDm2Ipl93bYYIwexMJ7FY1bLGHP7ybeo2doyyjt7JswovEEe/PwgN6wqpLZ7jBlZRmZkmfAGwnGmGhlGJaMuHwUWNaFwOC7D3B8MEwqDSAA9NhfpxtgVvcsX5LP6AcpTddx30jS2tY3w501t5CSoWFuRwnetI/x8VRFPf9vG0LiX9ZWpzMo2YlbLEQoFZJmUZBiVXLuyKMZGdNTp49GNLTx6ZhXnP7sj+hB/9KsWhh1eLjkqh4/rBmgasPPmrl5uOaaYa5bnk2dR8+K2jil3212jLvITVFy7ogCTWopMLGLU6UevlGBQSmjqs5Njjuxyz3pqB8+ePxOPP8g7eyJ658sX55JhPCwJ2t0RiTSdHCoDEeLisRXJ3PDGPu49qYKuUTc2t480vZKvmoaw6OTkW9QEAmFuXVvK1a8czik/bloKtT12lhcnRscA7+49zJFIMyg4floKcqmQc57eyQULslhenMjcXBOZJiUiARiUUvISNYiFAiQiIX02Fx/U9lOWouO5Le2cMzcT5RR+ABDphDT0jTPq8nHuvEze39tLfa+ds+ZmMS/HiD8YjusSzMs18fbu3ri/NeYOIBKG0SpEmDWR81aRZkAuEtI44ODUmem8OjEnl4mF3Hx0UdS9bzJ8wRBdVjcZRgVKiQir08cjZ1bxyJfNNA2Os6zQwvoZ6XSOuNBM0SUpS9XRMokkafcE6La5GRz3Mi/XxEvfdVLbbeOh0yv5rK6fDyd2fHccX8ZndQOcPjudrhEHSwsT2No2ypUvRzoCUpGQO9aVMiPTQI5Fw55OKy//ZBYD4z7u+fgACOCs2ZkcV5GE2x+kedjFqzu6KErScvsH9QSCYc6fl8Ux5cm8P2Ek4w2EcPuCdNvc/GxZAZ/U9fHid11oFWJ+dUwJSomIez4+EHMPf1AbkV7+V/HTYrGQ+j4HP3t1T/S1uz86wB3rymIKu1Kp4JgKBekGBVZ3RBpXkqJDK5eQZlTgD4T5pK6f1on2fOcU0dj/CvTZnLy2syvmvARCYT6tG6AkSUOS/h8Psvl78WNh/zdCpkmJSSWNSYgqTtKQZvhhJRr5lkib7JGNzfTbvZxYmYrTG+DZLe3ctKaIt3b3sL/HTjAUjmmtCgRwxuwM/vTFQa5bWRinMYYJD/ZJD+E8s5zfHl/KnR80RJzgtDJuXlPE5w39HJVvYtwTjLbcD0EsFKBTSLh6aR4jLh9/3tTKr48t4dfv1EUXI+fOzcTjD/LWnh4+mtBYtw07qemwcvvxpTT22/ndCWUIBaCTi9BNyFz2dlkZcfj45dHFuHyBuAf6iNNH63B8aMqGXT28eskcpqfreWJitHDHBw0YVRJuWl1E+6iTyxflcWDQwbcHh9k90caen2fmV+/s57SZ6Ww6MBSNHi1P1XFCZQoV6XpODYW566NGQuEQeoWEyxfncPKMNEQCIQlqCemmyI59xOGmY9QZDe+YjDAgE4t4+twZ+IMhtreN8nFdP95AiJmZBs6YVYjXH8LtD6GQRsYdgVAk93pH+yjv7u3l+Qtm0joU32FJNyopTtYyNO7m/AVZ/PW7LronnNckIgF/OK2SAosk6uTlD4ZoGXaRrJNjd/v5ycIcDg6Os6gwgRlZBna2H57pLsgzk25U0DnqIk2v4OqX9zDkiHQTdnXaOGVGGtcsy+Ws2Zk8vPGwha/N5SPVII/+bPQ8hMNsb7dx3ycH+NOpFagLJAQCATzBMCk6OWfPSqckWcOQw4dOIcGikSERCeOuQa1czIGJ1LVnvm2nc9SFSCjgl0cX8auMYl6r6eKsp75DLBTwu/XlMeEpBqWEq5blc/bT38WdSwCtQsJNa4qo7R7jutf2kmZUcPf6ClJ0MtpHHMzJNVKcouXLhkEsGhn9NjdXLs2joc/OxsZBbtpQy/MXzCLHomF6hoF39/TEFM9traP8+awqfnVMCbe8XUdVpoEHJvm7/2ljMz9bno9SKiJBLUWrkHDBczuxuvwIBJHx3+uXzEYoEFKWrGFnly2ORBr5DuI7FUfi8/r+uNfe3dvLMRWJGI6w3j7Sh0ImFvL+3r5oQT+EqTov/wqIhUICRzw/IBLLbPf6SfrfP6Qofizs/0aYlqbnodOn89jGFvb1jjEvx8yFC7IpSIyXnfwjSDVoSDVoyE1QYXX5GXMHuOj5nQDc9WEjK0sSObY8hYUFJpYUJdDQN47DG2ER1/fauXZlAXKJkHSjgrGe2Js7QSMjy3x4pZqoV7NumpSyZF3k4SAIM+4OcM7crGg06R3rSrlpQy2eiRbuDauL0MhE9I656bZ56bd76djbx+9OLMflD2B3B0jTK3B4Azw2iU0LkYdN35iHdKOSLHNsVOTeTiu7u218WjeAUCDgzDkZCAWHfeQLEzWsLkuckvGvlIoQCwXIJULm5piiBiejTj8auYR5uQnc8GYt3kCQo8uSmZtrIkknRy0TIxIIUMkkMXnitT1jTE/XIxQIKE3R8sfTpuPw+GkbcSKXRMJcTGopfXYvI04/SqkInUJMr82NRSMnzRBrLnNsRTJJWimZZg0720dJ0Mi4bHEuEJlHy6UiTn18G+fOzaQiTc8fPo9flIWBFJ08Rp6lkIi4eGE2OoWY+j4HIoEwWtQh0l15enMbSccUoZQ40KnV7Ggf5epX9kSLwTfNw1y+OJdnJ0JZ9veMsbvTxswsI7OyDUhEQhI0MkacvrhC/eauHk6oTGVVSSI6hYT39vWSopdzzpxMvIEQF79wuOOSY1bhD4YpTdHw7PkzaRt2srl5iAP944w4fOiVEhr7x6nONDA324DbH8Lm8mNQSXjynGpu3lBL+4gLszpi4fvoVy0oJCLm5ZroHHURDIX57fsN/HptCS99F9n1B0Jhrn99H8+fP4NjyiNe5xatjFAwhEom5sL52UjEAj6t66fAoqYkWUNDn539PWN8uL8PtVRM86CD61/fywsXziLTpKYsVU/XqJOPavs4sTqNr5qG6bG5qc4wcNOaYu75uBGnNxBZsPhDvL0nvnPx7p5eKlJ1GNUyao8gmwJsPjjMZYtzWJiXECMrC4fhqc1tzMg0RAObkjRyylO10REWRJj6hUlqwuHwlLr0Q0jQxhvQJKhlyL+HxDYvUcPPVxXy05d3R0eC09P1FCf9cGPJfwQJWgWnzsqIsfIVCCId0fpeBwWJ/zpnux8L+78RRCIh8/MSSNMrsHsDWNQSEnX/vIs4P1FL26AdpzfAJYtyePLrVoKhMFtbR1hflUaWSYVKJonmFtf3jKFXihAi5IyntvPLY4pp6m+MtknLU7VUZ+hJPCJLWaOQUpkZH1d5CIsLjDx/wSx6bR7Maik6uZgkrYTd3Q4ufbEmWni3to5ww6pCXtjaweNnVSMURlqTR7LAlVIx2eb4Npg/FCI/QU3WQhV9dg8PfX6QG1cXcc/HjRw/PRWJSMijX7VwztxMss1K2oYPt/wuW5xLvlnB/r4QzYPj/GRhNq/v7EYqEuD0BaJGPADv1/bx06V5LCtK4Pb3G8gwKdnfE/9wre+zU5SkZtjp4+nNbZwxJ4MBu5eP6vpZVmThvk+baB50kKSVc+PqQvITlRQmadnZPsoli3Kp6xmjedDB3FwTy4osZJo1jLncfFDbxzMT5j95FjWnzkhnYMzDb48rRaeU0D7spDxVi1ouIRgMsb3dyrxcI9taRjCppNyxrozdnTacvgBCgYCbN9Ry1wnllCZr+KQ+XsY0OO6hc9SF2xdkRoacA/3jcTu8Z7e0c9acTF76roObVhVxUlUqrUNO/vx1Kz5/iJ8syI56pU+GSCBgxOnjT18c5I7jS5mbayQYCqOWianvG4tE3AZDiAQRZzmtXIxKIuKThgHe2t3D9asK2dIyglkt48XvIj7xnzcMUpysoSrDwEvfdWJQSrhmeQE3rSmifcRJ/5iXh748iN0dIEUnZ16eCaNKyqs7u7C5/HGfbVVpIgKBkN1dIxzoH2d6hh4h8JdzZtA64mTM7efio3KRSwTcvq6MIbuXmg4r164oYMThw6CS0j7spM/mRioRsafTSpJGwjnzsjj/2R3RhUtNZ0ROd/XSPPzBMM9s6WRGph6lNH4hKhELGXJ6WVxoZlvLaNy/5yaoOK4ihUGHN0rknIxDHIyajlHcviA3H13M7z89wM4OG4sKzJwyI50PavvZ1jrKzCwDYmFkwWfRyMhLUEQ5QcuLE3ljZ3eUQyMTCzl5RhoK2d9+HkzGimILL144i9YhJxq5mJJkDXn/wEYnHA7Ta3Xh9gdJ0EjR/YOBXVlGBQ+fXskrO7oQiwQsyDPz8vZORp0+ss1Kpv2Dpjp/L34s7P+GyDxip/nPRLZFS7ZFS75FxeKCBAbHvaTpFeSapKiO8G/uGHVx3et7efrcGaToFfx5UwtXLs0jEIo8WGdnG6nMNNJnc9HQP07rkBOtXEJ+ojoqg/H7AyAAifjwpadXKZmVHVuI7S4vGw8McQR3j40HBnnmvBl8Wj/At83DXLggm0cnWagWJmooSdZQMWmG1zU6zrDDzzt7+vjr9k4ERKxRb15TxJcHBnntkjns77Fz23sRQtEz37Zz8VE5GFVSuq2RnVKeRUWnzUuYSFF5f29f1E3v0O59Mj6s7Wd9ZQo/XZLL7q4xRpw+vmyM9RYvTdHiC4bxBUKMunzIxUJ2942RblDw9Ddt0R15v93DTRtqefTMKtL1cnxpenZ3WSlP03HctIi7W2Fy5GE3NO6PWt/qFBJOqk5FLBLws1f3RlvNSwsTuGFVEW3DDpy+EOcvyCbNIOeql/dyQmUKTQOOGH9zgIc3tvCHUyqYkWkEYhPGVpQkYnX5EQoEdNtcUyR2R3aC1RkGcs1KVj+0mWMrkjluWgqdw04aBxxsOjjEm5fOjetEnDE7A7Egor3f0Wnj8U2tGFVSqjL0rClLYkvzKC9PzMzPmJXBwnwzDl+AF7d1cNrMdD6t62derpmHvoztUDT0jbOqNNIstbr8PPpVCytLE0nQyHh2IlIVIqzz37xXTygc5mfLCrjvkwMYJ7WCcxPUrCxJ5Po39tFvj3Asvmke5qw5GXSPufnV23XRhe+q0kSuXpZHkk6OVi6JaY8vLbJgVEk579mdKCQinj1/BrU9Y3Gjov29ds6dlxWducvEQh45o5KP9vdHd7UioYDyVB2f7B/g+OnJKKViPtzfH12QqGViTpieynnP7ODxs6vjkv8gkupY1x1pwd/9USPtIy5OmJ7Cz5YX0D/m4Yq/HlYBWDQyfnVMMVe/sgeJSMAtx5SwpiyMRatGL5fw57OraeiLjPZKU7TMy43XovdZXYx5AmQbZchkhyVjErGIublm5k6RKtnUN0briIt93WMYVFIqUnXRIKip0DNop93u47UdXTT021ldlsSi/ASqs/77kKu/BYtawv9j7y3D4zzP9O/fMJN4xMxkdsx2zHbsMDM11DC2Sds0SQMNNtwwN9SwkzhxYoyZZFuymFkjDTO8Hx557LHU3e623e67/5zHkQ+RpcHnua/7vq4TDvc68ARCBL1hHlhTF525Hx8c9T+Jnwv7/0MYcjip63VzsMeOQiqhLE3P1Ow4RCIR6XFa0uNiNxQer5dDfW5sngBmgxKFVCCuaZVSblpUwH1f1vH4dw1IxSJuXlRIhlG4IX9qtnDrRzXRC7wkRcfTZ1fR7/DTNeLB6gmMEthUlKQax32tIhHIpWNLhEws4mCPnafWCfPWOI2cB04up7HfQWa8hgmZhmiHAWBvxzBNAy6GnL4Y3fl7OzvJS9KSbVJTkKiNaU2HI4L+fX5RIn86pwqdUpAJ9Y64+aqmD4cvyDnTMmm3uDCqZVHW+rHISVDz4NeHOWtqFoVJWgZdPuYUJLDxSM52hpEp2XF8tLuTq+bmUZyiI04t50CXlRn5CWPyyX3BMO0WN2lGFVMyjRQkaRCJhIVFIZPTOexGKRWjV0goNetpHXJxUlUqh/sctA25Y+bHbRY3+7usMbnaF5yQxYOnlNM86MLiGmsl2jnixuEPUZys5tHTK3lyXSM2d4DV1anMK0xkR+swn+7tpiBJy2kT08kwqeg85j1cOSeHp39ojLLiP9nbg0Iq4YaFBVz9jsAqfuI7QQ3xY/0Ajf1CJyIvUcNzPzZx4Yxs9nfaWFKWwqEeG4FwhPZhN7+Yk0OSXsmaA72srk7lh8MDVKQbBAnfoJPCUc3z304FFNBn9woBLgYlZ01OZ8DhY2KWwAc4Mkt+dUsrfzi1nCSdAqNahtUdYElZMt1Wb7SoH4E/EOZP3zfGkP6+PdTPydVpqGQSPt4TK1v74fAA500Tcno9gRBDTv+Yog7CZu1YGZgvGGbtoX4ePKWCHW3DiBC6NK//1EayXsmpE1JJ1sr59fJihpx+3P4QIhHU9tm5bkEeb/3Uyq+WlXDLh/sZcPiQiEVcPTcXhVRMm8XNw9/WR6WxH+3pRioRsfm4bIMBh48Rj/AZBUIR7v+qlsLkqVhcIe7+7CB7O62oZWJkEjHZCRoePb2KgpSjrPFNDYO8vLmVliEni0qTWVFh/rsSJfd22bjj4wPR/083qXjizKpxTWxcHg8Nwx5u/mB/tOA29AvujAkaOVmJ/73DVIpJS1qch70dIzGHkFSDEsl/MKL4V+Pnwv7/AEbcXhyeEF0jHq55Zw+OUfb9EZ31eLvctgE765ssPPJNPW5/iMw4NQ+eWs4JuSYuf30XL104iafOqmLQ6SdBIyfdpCAtXkdtj43H1jbELJp1fQ76HX4O9th5dG19dMG6YHom504V4/QHaBl0IxOLyEvUUJVpQqdSML8oife2d8YsjhfNzOF3x1jVrq0d4Pu6Ae5dXca2Jgvtwy48gTAz8hKwu720DLr5Yn8PgeOP/sCG+gHuXlmKVCKmIFk3ZsHKjFPTY/VicdlJMygZcPo40G1jb6eVbw/1k6xT8FVNL/esKIlRE+iVUqbnxpOboGFf5whbmixMyjRx65IiLpqRTSAUJhgOs6tthBNyE3D7QszIS+Dt7e2UpxkIjbqQeY5TQyRo5WjkYhIMKhIMAhmw3eKiuWOIzmE3MrGYgmQtl8zMYkfrMEa1DLlExNr+2Pb58kozTx+XJf/W1namZpt4fkMzd68o4co5uXx7qC9qprOkNJk0gxKjRsFsKaSbKhlw+rC6AnxzqI/3RpPRarpsfFfbz4sXTGLNgT5ah5xC3rpEjEgEz547AYVMTNewh9e2tLGwNImzpmQQr5Hj8ARI0so5rTqdEY+fx7+rZ6tCxklVqbh8IYacPt7dIbTTNzYOUZis5Y+nVXLt/DyWlyfz+f4e1h0ewO4NcMbkdN7Z3sGVc/J4Z3v7mBCfrHh1TEs9UavA4Q0ilYi5aEY2rYMubvxgX0xx7RrxEKeW4/QEef3iKbQPC/P4nceQAY8gxaikdRz2tsXpJ92kGtOJAsE05gi8gRC9Vk+MrBDg9iVFY/gRa+v6yUnQsK3FQiRCVOu+qDSZmm47MomYWz6sifkbnULKm5dNoc/uw+Hz89x5Exl2+dErpbRbXFz02k4eP7NqjN+FQiYd1/0xFI4wNdvEjrYRAqEI/XYfdm+AG07MR60QUgxf+LGJtXWDtA27ooW9vs/Og18fpnY0LOfVzW3027wk6xSkx/3tMWRdr23MNdw14qFhwDluYT884OFAt23MKfrz/T2cPSXzv13YAcx6JfetLucPa+pw+UMk6RTcvbKEfvtYlcz/FH4u7P+H0WN10jzgoXHAyQe7OgmFI/zyxELW1w/wU7OFIaefvR3W8Qv7iDfGEKRj2M29X9Ty9DnVPPtjM9f/ZR9nTkhlRXVqjOmEPxgeQ4AqTtbSa/Py0qaWmIXyrW0dzCtK4pfv7Y2y0HMTNPzh1Aqm58YzMV3Lny+cxPd1/Xj8IZaVmzEblKQaldy0uACFVMKg3YvTL5hkfFPbTygc4fN9Pfz5wkkkaISTbOOAk/lFSVEHNBCY92VpBtRyMRqljBOLk1hzoDc6W0zWK5hdmMiSJzdjNih5+LQKfP4w84uT2NtpJRSO0DMqbwuGI9xwYgGBUJg+uxePP4ReJeXVLW3RFLTd7SP8WD/A2VMySDYo2dthZWPDIK0WF4+fWcXvvxQ+6+tPzGdX6zC/mJsbs4CfOzWDzDh1lCEPEA5HaBl08eR3DayekMaGhgEh7nVCGi9fNAmL08+mxiFOyIuPiRgVwRheAgh8hUWlydz8wX4iEThzcjojbj8RBA95dyCE2+ohFBQTp5HRanETCIWjPvpHYPcG6bV5ufnEfCIiEXW9NmyeIPesKMXuCxAOR8hL0PDk2VV0DnvY3DhEr80jJPU5/VSk6XH2BzhrcgZSqYQRpw+jWhZT4EAw/Olz+KiSCv7o6xuGyEvU8t6OTh46tYI7lhbx9o52Lj4hG7c/xKQsE+vrB6lKNzAtJ55f/kVoJ6vlEn4xN5c+mwezXomECFKJiKvm5iGTiNnaYmFrs4XseDVahZSWIRcdVg/Z8RrUcglxannURx9gUpaJslR9jP//EaQalaQaFRSnaDncd3S2naxXkGY8Ou99YX0ztywp4suaXm5ZXIgvGCbdqCLdpOS0SWkopBJEIoEs2jzgYF5RIl8f7KOm24ZBJeOyWdkUpegIBCMEQ+OY6wRCiBAxKSuOh76uY1+nDYVUzPUn5kfvk0Aogk4hjfG2WFfXz4UnZMUUVblEIHtOy42nzSJ0+NRyMXEaBY+trWdryzDxGjm3Ly1iel4CYpGI5n4HPX/SkwABAABJREFUB3rsrDnQS2GyjpMnpPHihmYsLj9fH+zj0lk5dFu9DLv8pBiU0VHeEQTDEUbGYep7/4Y02OkNjtu1kUnESMaR9f5XYFTJSDMqePqcCbj9IeRSMXs7RpjyD7T4/1H8XNj/D6Ohz019f2we9B/W1HHH0iJ2tg0TCEViWrTH4vhWMAgLqcXl55ZFBbj9YZL1MuK0sbPxVKOSFRXmWKauSDBXGRrHl9oy2h48gpYhF1ubh0hQy3D6QzzxXQM6hRTpqP91h8XJlXNzeeaHZvrtXhaXJiOTiJmYaYrOGEfcARr7XWQVq5BIRPTavKQYlKQblSwpN6NXSgmGIkzMNmFx+cmIA6VUzEOnVtJt9SBCYPf//guhM9Br8/LChmaumptHkk7B6upUvtjfg1gk4vRJ6ZjUcn753l4UUjG/XlHCI9/U89KFk6JF/QgaB5zYvUEeWLOXP18wiR/rBylO0fH9MaZEz/zQxOmTMkg3qnj9kin027wk6OSIRSL67F4+2dNFqlGJQSnDpJbS7/CypNzMI9/UR4v13k4rd68oYUVFMlqllNYhFxann32dVpQyMcUpguXpsaexOI2cYXcgSroDeGNrOw+cXM7s/Hjq+pxRA55lFSlIxSJyE9Qc7BFOhMduFAqTtRhUMrpsXpoHnbh8Qvb7ng4rb2xtw+4Jsqo6leVlKXy0u4sbFxUgE4sRi6Bl0EmKTo5ZL2dr8zAPfn2YWxcXYdSM50Qv5ATYXF4CoQiHeuysrk5jZ9swd/71ANnxas6blkm8RsaM/AQq03SsrjLjC4aJRCK8cckULC4/GrkUMRGmZBtJNSjY2+Xghvf3RX0TVlensrLSzGkT07j0jZ3YRn0XjGoZD59aSWWanrtXlrCn3Uq/zcPU3HiuensPdywpxuENsq/Til4p5falxcRr5CTqVNx/cgVvbWtnS9MQEzJMXDormz9+K9ynUrGIM6ZkUmrWYVLL6bV5GHT6WXOgl1XVqXy4qysqib3hxAJmFSTyhzV1XDorB6NaitsX4u7PDjHsEiR9vz2plNn5cWxqOsoFWVlpRquU8Ow3zVEzI18wzB+/beD2JUVsbrLw/Pom7lhWzG8+OxjtMCwqTaYoRct18/P4+mAfSToli0qTeXFjM55AiLMnZ2JQy/AHwzz9QxNbR4OULC4/d/71AK9ePIUMk4pd7SMxbfRvDvVy/YICHvm2HpVMgtUd4Jp3hNQ5o1rGw6dVRjkRADkmNWdMzojhQ0jFonHHYiDwAMKRWPkuwBWzc8mK/8cIdKFwGLFYzPXv7Y16cswtTGRWQSIubxDNOD4H/2r8XNj/jQiGwgzZPYjEIqQSEUa18h/ePR6LtlFd9/HY3DhEVbqRXe0jTMoyjvu3idqxnsfmUdLPeLaQR5CkV3HBCVlIJWLWHOjFbFBy3YICzHpFjJUqCNadZsPYm2rA4aPT6uWWD/dz+qQ0qtKPJovpVXIufm1nVM/+9vYOzpqSwbZm4bTWPHjk8SM4fSEmZBhRSMU8/UMjj51RRa/Ni8sfRCoR8d2hfiZlGanOiKNjxMNn+7q4cHo2YeCqt/cQr5Ejk4gIhCLEaxT8/os6zpiczqoqM2dOSsfhC7Kvw8rNH+4HhIVx2OUnTvO3Gb+iUXndFzW9nDM1g/JUQ4wHeTgCH+zqxOYJIJfA8gozL21sYUJmHC9sbCYyanl606JCchPUKCVinN4gGXFqchM1xKnlaBRSNtYPIJeIKU3VUZ6q53cnleINCp0NvULC/SeX89jaevZ32chL1HD/yeW8uKFlzOv9oqaHijQD1757NIJzbW0/T5xVjVQkJhgMc87UTF7a1IJIBDcuLKRl0MmvPzlIWaqeK+fksr11mB6bl/u/qos+7ltb2zGqpKysNLOmpo8f64WOQmW6gbwkLeEIPP5dA+Vpeg722NjeYhnTls5N0GDWq9jTaSdOLWdWfgJPfNfAJTOzkUpE6JUyZubFUzSaJtY+7OWTvV2srx+kIFnHFbNz+P0XhxhwCEVSKRPz3hXTue/L2hgHwc/29fDyhZP4YGdXtKiDcFre0zHCguJEpmQamZRh5FCPnTs/OUgkAo98e5iFJcn8ckE+k7JMuHwCcdSkkTNZE4dJJePiE7LRKCUopSJuWlTEedN9GFQylFIxcrGIabnx7Gkf5oGvDmNQy9jYMBQt6kvKktnWYokmzG1qsvDr5cU8/WNTtMDYPAF+/clBXrt4MoiaBXvYgkTKU3WMuAJsPq6jABCKCKZSbRY3X9X08PolU6L5DDtaLEjEItqGXFw3P58Pd3dx31e10euyKsPA/V/V8aezq9lwnLd9JAIdFhd5CeoYFQkIjpPDbj9ahZRr5uXx288PRTeLVneAuz89iNmgpDLdCIBWLWd1tRmVTMwne3tIMSi4dn4+5anjF/Y0k5ppufGoZFJG3H767V5m5idQkaojSf+PGcmEEfHsMZ85CA6Z84sSKR8nIe9/Aj8X9n8TfIEQ9X12um0epGIxNneAZIOSgkQVKcZ/Dis+IhLMMI6HSSMnFIrw9DkTyE4c/6LOjFNx/rTMqERIIRVzz8rSvyuQZlJWHDnxKi6cnolSJqEwRc+g3clvTyrlt58fonnQhV4l5e7lJXjHMVvJidewv8tKIBTixJJkXtzQwtZmC2WpelZXp46Jg/xyfw83LixgXlECzYNOjGoZ+Uk6chK1yKURXrpwMm9va0chE/P0D03RLkVxio5EnZzmAQf5SRpEiHlvZydnTUnn+fMm4vaHUMjEgqmNKzAaHnMYsQgePaOSlze1RWeDR5Cok/PEmVXoVBIWliTHnMbL0/TRU7JELOLNre38YXUFyyrMfLq3J8olkIpFTMk2EaeR0TjgZFpuAs/82BRtJYYjwsn+8tm5TMkyUpFuwOULUpSi442f2uiyelhWnoJRLePOvx6kKFlHRZqB93d1cO+qcrqtbvKTtDx0agUufxCVVILDL2wOjkdeopbDfXauW5DPK5tao23Z93d08NuTSiky68kOhChLraLX6uXb2r7oCbDP7qWm28bNCwvG1VKvOdjHmZMy+LF+gDSjkBYmE4vZ1mxhcpYJXzBMRZqB72r7GXL6uWhGNlfMzmV/l5WqdAOTskw89HUtGqWc25YUcMOCPJz+EI0DTtRyKSUpOkpShaLe0G/nmR8b2dAgFLIem5e9nSOcPy0rqqrwBsKMuPx0Do/tVnVbvXRax87M7d4A2lGJXY/Dh0ouRaeUMOwSvqe1tf2sre3n9qVFPPJNPRMzjdy9opSJWSb0agl2X5BwKEJqgpZhl41d7SNIRCISdQpKUrQ0DrrpHHFz5/JiWgddMcWyOEU/xiTK5g2OcXL0BEL02X2cVJmKxeVnQ8MAS8uS+anZQlGyNhpSdASpRhVXzs5l3eEBJmWbeHNre0xM8qYmC7ctKWJfp5WD3bbodXkkHrjX5iUUjoxROAAYVHKIiMZti2vkEv54eiVSsWjM38WrZRiUEtqGnMSrpejUSiZkxlGQpOOUCekoZSIy4//2uqlXyQRdv1qG1RUgTisnL0n3TzlIeQOhmLHKEdg8ASLjkSn+B/BzYf83weryRU1AfvfFAZy+IBKxiFsWFbKoNIncxH/8oitM1hEOR2LsWOUSMadPTMOkkf+HGsuSVAMXTs9kfnESI24/KXolO1osWN0BylJ14/7t7rZhGgedAjM3URsjI0nUa0nUa3n5wsn02r0oJGLe296OViXnpEozaw72oZFLuGB6FsVmHa9tauXty6bxq08ORm1Od7WPMLcwcczzmjRyshM0OH1Brpufx4y8BKbmCM9t94Yx6xWUpup4b3tnzOjhcJ+DxWXJgGA7evvSIiBM04Cb5zc0U9froCxVz6WzcqiSislP1PLg14cJR6C+z8nKKnO0sGsVUm5eVMimRgt1va0sLzdz5ZwcZuXHs6XZMmq9KuLFjS1IxSKKU/QEQiH2dll5e1s7Ny8qJEyEVIOKVKOSj3Z2sKg8lQGHFaNaPsaz3xcMIxKB0xfivi9rOf+ELH77+VFnvo/3dOPwBtErpXx1oJfd7SOsqDTz7vYOzpmagcMT4pI3duD2h1lYksRVc3JZUWlmzYHe6InQqJaRYVJz+8cH0CmEjPIjY51wJIJGLmF/l40Mo5KMOA0Ddt+YdLZBhw+VXELyOEYlpWY9db125hclkZ+k5b0dHfiDYU6blMaM/HhSDUpaBl2UmPVsahzijZ/aMKhkFCZrqUw38urmVnZ12Cgx62jqd6JRyrj67aOdhWS9gufOnYjNGyAYikSL+hHYPUE0itglcMDpG2PGAgJxcW5hEgeP+/mcgkQkwId7e3hhYwu+QIhzp2XSY/VGbXkV0qMOZXs6rBzssSGKRHh2QzPrDg+Qolfyq+XFBMMRysx6Bhw+DvXYsXsDSMVinlvfhDcQ5oLpmcwrSuTAqCeCQirmmnl5SCUiJGIxh0aLrEIaOxqRikVIxSJu/LiG0yamc+fSIi57Q4jdfebcidzywVEp5OLSZHQKCQtLkzh3SgbeYJgXN2we8915AiEmZ5s43Oegx+rh5AlpLCpN5s7R9vo9nx7kjqXF3PT+vuj3MbsggVKzjlSTilsXF/KLY1IVFVIxk7PjmF2QyMaGwRgb6t+eVEJBkp4Pd3fTOuRiSk4cVelGJmSa0CplFKb8fU50WqWM4uOy4P8ZMBtVLChOGpP+V5isQ/R3GPH8K/BzYf83weIOYFTLueuTA9GbKhSO8Mi39WTGq7E4A0zLjfsPXZ3+M8zMT0AihkdOq6RxwIlMImJylokUrZzclP/8Ai80GwiEI/zph0b2H7NgnzMlA5FIxA+HB+ixepiZl0CSXsG9X9Ry7fw8XH6BgS+TjFCWZqSmc4RBpw+L049OJSM7Xs3XB/r4dH8vy8pTqMowCqYVcilqmRiLw8dlc3LZ2DgUE2EKAjErM05FxzGnqmvm5dFucfHixhbevHQqqYajrfDSVCNN/XbmFyXz0e7YGw8EUk0gFKbL4qI01cCutmHu/aI2WtwO9dh5+OvDPHPOBKrSjcgkIt7b0UmbxcXZuRnctayYLU1DLKsw8+DXddHT0vMbmmkccAjxoZVmkvUK3t7WyaqqVCZlmbB7A5w9JYuLXt1BMByhz+6l3+7l0W/rkUnEXDknF5VM4A40DThRyyUxXASjWoY3EMLlD9Lv8OEPhsd0Mr6v6+fqefns6bDSZ/eiUUjY3TGCQSVjblEi+Ula6vuc1PbYqe1zkKZX8M7lU9nSbEEEDLsDUf23wxekrtcRnVFeOCOba97Zw+9WldFn96FVijGo5UiOS70DwTCoadCF2aCM+ulLxSKWlqZQ3+9AJhXHaLrf29FJkk7BHUuLefbHJs6amsHhXgeDTh82TwCdUgiA2dE2gkgkzJklIhEvbmiJ+Qz67T72dVkZsPs4sSRpTMEDgUtxLCwOHzcsLOSBr+poHXKhkkm4Y2kR+YkaXP4QT5xZxYaGQfZ0WLlmfh55iWpqe53cd8yY4YUNLdy5tIiGfh3xGjkrKs088d3Rk3XbkIuWASe9Vg+vXzyFIadw0o/XyNjSZImRIcZr5Fw+O5dnfmjirW0dvHP5VLqtaXy+rxuzQclvPz8UjdCdW5iIWi7id6vKuPvTg4TCEcQiuG1JEX/ZKXTePt7TxdLyZCyuADPz44jXyLh1cSFyqZhwRHCku/KtPRhUUh47s5q8eDUlKTpqjtvQpBpUtFtc/PakEsEd0eHD4Q3y5JkV/PaLOra2DBMKBfn8upkMOnxY3QHSjCq+qOnlQLeNE3Lj+eiq6Tz1fRNxGhknT0inwiyM+LJNCm5bXMRj3zUQCkcoTzPw608ORg9CXx3o47xpmaQZ5CT9Cw28/l4cCcDqHHaxq90a3XDlJ6oxjNMx/Z/Az4X93wR/MIzHH2TQMVYzPOzy8872Du7VlFKY8o/NaKbnCsYOwdDfjsX8j9A65I4p6gDv7+okI04dZW039jspM+u5dUkR93x6MLp4zy1I4JbFhRzotvPh7q7oSWNqdhy/XlHM9Lx4HlxTxxc1vSRqFfx6RQnzixKI18h5+Nt60kxq5KOkuSN4bUsrT51dTdOAi1A4TFa8Go1Cwr1f1OILhglHIqTHxXIA8pP1WOwulpSljJntTcoycfJzP3Hh9GyWVyTT7/DGePWDMPO3uv0MOHwoZVJuW1xIZrwafzBMeaqe8jQ9gw7fmBbousMDXDc/n+v/so8Xzp/ILxfk8sbWDnqsHt7a1s7vV5URDEdI0imIQNRr3DdKPCo4uxqlTExOgprbFhfxzI9NWFx+knQKrpqbx/s7O5gwGl853ncbp5Fj9xyV90hEIiZkGKnrs9My5OQ3K0vZ22HDFwwhEYnotfvIiFejlUv5trZ/jKFOn12QX5WnGUk3KrhxcRGIIDteTWO/k1KzlnOnZvDWto7o38wtTMCoklKUpOXmxYUMO/34gmHEIhEvbmrmD6eU89qW2DQ7gB8OD5I9U0OxWY/DG+TWJYX02ryIRCKq0w38+tODJOnkPHxaJQe6bRQl68aoMQAG7T7mFSbi8AY4d1pmDDmwIs1AvEZORpyKcBhOmZjGzvYRnlvfzAsXTCQcBk8wTMeQk+c3tPDZKGHy2nl5XDA9E7VcKhg1bWwd87xfHujltAlpFCRrufSNXTHytvI0A498U8vvV1dyzTt7orG2r18yhXe3d8Q8jsXlR3ZM5662x8HNi/K58IQsHviqLlrUQZjrnj4pja9qennloskMO31IJWLe39nBlmPc5+yeAFfPzWV6bhwPrqlnd8cIj55Rya0f1jC3MJFbFhfi9AZpHnBiNii4dUkR176zNzqGWVaeQkO/g5OrzPx1Tw8vj95TCqmYR06v5Plzq2i1eNnSbOHNbQfJSdByztQM7v7kIIf7BQ3++vpBVlSYeeCUMlINKqTSo+55mYl6VpaLqcow4PGH6LB4okX9CP6ys5OTJ6T+ryjsANWZJl69eCotgw4UUmH8+M/kS/1X8XNh/zegfcjJW9vaUcmlYyI0RSLQyKXsaR/B6vnnORf9d4o6CDasxyMciZVL5SdpyU3S8Nne7piEsw2NQywoSWbE5Y0WdYAdbcNsaxnm24N91I46Xg06fdz64X7evGwqmSY19X1OarrsnDc9djFeUCI4dNk8w3QNezAblBzucxCvkVOUoiPTOH5gTrxew7LyFHpsHr452IdSKuGa+XmkGZVUZxj5bH83Bcla0kezu4+dASbp5PQ7fPzm80PRn6+sTOHa+fkoZRKC4fC4IRlyydEW7P5OG0qZhJn5CVzzjtCCVMglo4QgA1ubx5KYtrcO02/30jXi5sYTC3nuvAnYvUH8wTAuX5A7lhYTIUJRso5+m1cgmh1zsrp4Rg4vbxYIcZWjc/gJmUY2Ng5xYnESO9tGCIYjo+Eig/zxjErW1g7g8gn52ccX9pWVqfzUNMSLG1uYlhPHhSdkc8lrO7llSRGz8+LY1W7jrMkZTM42UdfjICteTV6Slg0Ng7QNuZiVn0hVugGrJ8APhwe4YUEha2r6SRmHQJmXqCFCJCZl7gieOruKx86oxB+M8PQPTTQPOjmxJIlbFwu+4sfCqJZz92cHeeCUCvpsXm5ZLDinxWnkOLxBFFIxT55Zzcd7unh7WztWd4DCZC06hYyvDvTy5tZ2fjE3l0/39SAVi7hnZSmf7O3mTz80kaxX8NuVZWSNw01I1iv54kAvE21GVlSY+aKmF5lExKUzc8hNUPPgqVXc89mhaFEHYWxxvHcBQIQIcqmIYChCcYoOjz+CCKg9rpsFgqPe2tp+vjnUz32ry3j9p5ZjCKWCx0JmnKBmCEdE7O4QyLVWd4CiZEEtcWz3ZEVXCrcvLeTNS6fSaXUTDkdYXz/A6z+1MSs/IVrUQVgT7v+qjvyLp/Dh7u6o58CeDis5CepoUT+CNQcFAunxs/F9nSO8vbWdj/d2Y1BKuXtl6Zj3GQpHxp3T/1fg8/vxh8AXCJMwzqjovwq9SkZ15r9P4nYsfi7s/wb02L18srcbtVyYyz61rnGUBS3m1iWFvPFTK2WpBmT/pvnMschJ0JCiV8Y4a80tSKTmGMLNd7V9nDYxjVePKcBHUNdrpyJtbNt/R+sw/uM2DcFwhPYhNzPyElhQnMQzPzaRalTwxFlVNPY7UcklNPY7ueCVHbx56RRkEjF/2dnFwW4bS8tTWFFhJvU/MLXQKiUYVTKum5+PPxhmc+MgGSY1cwoSWVqWQpJeQYpOwZWzc3lx41GG+O1Li7n/q7qYheTLmj5WVaWRZlTSZvHSNOCiKFlH/TGL1+WzcvjqgBCNqZSJ2dNhRXGMm96ne7q5fUkRHcMuJmeZ+MvOzqgU58SSJGbmJaBVSvhgZydXvXN0Hnnr4kLe297BU+dUs6N1hHlFiYhEwohEMk2M3RMgO0FNJCLkZhcm6zCqhTbvxoZBTshPiGGoLylLYWpOHG5fkKd/aMIXDHPLokJuXVzIy5tbCYcjXDEnl63NQ6wZ7SpsbRkmFIZlFWZ+93ktr18yhTv+eoA3LpnC+zu6OP+ELCLhCNe/ty967Xx1oI/rF+SzvXWIMyZlct17e/EEQty4sCCmTa9XSllSnkIgFKY6w8i+0aQ8EAq+0xskoIlw5Vu7o4Xwg11dWN0B/nBKOY+tbUCvknHm5HS+qOmhedBFTZeVk6pSue2j/VSmGVlWkcKIK4A/FEajkHD6pDSKzXq0cgkZ8RpCkQhvbm0n3SR0IwCWlqfwwa7O6Hio3+7j+r/s5fVLppCglUflnEqZmBl58dz3ZR3Z8RpOm5TOsvIUansdfFfbz+s/tfHwaZVjxgIvbWrhohnZ0U6YRi7hF3PzUMslXDk7j9JUPR5/kDSDArtXwqyCBL49FKvt1yik0e7AQ18f5qWLJvPMD01sa7FQYtZz6+JCkrQyvqrpZX5REia1jBF3gCSdgsVlyTy/PjZU6asDfZw5OQOrJ8DLm1rxBkKcOzWT8jTDuN3GQYcPpzfIh7s7Y34+noteJCJ4tx+Pg912Phr1RrB6guQmaGJ8AgCWlaUQp/rvlS+Lw8PhPief7euhadDFqioz1ZlGKtOMiP+Np+x/Jn4u7P8GiBAhFolw+oL86YdGzpycgUImZkKGkQfX1GH1BHjwlAqStOPPZw50jdBm8WBx+kgzqcgyqSj8F5BCAKozTDxxVhUf7BIK6JzCRJaWJXPhqzujv+PwhVBKJcwpSODdHbE3tNmoGjek4oS8eF4fZyMQrxXm4wuKk2gdcmLzBHl7Wwd7OkbGWIA+/l1jlD1b3++gtsfOQ6dWkP03XKTahtxRhzSpWMRdy4u55cP90ZlwvEZw4ltalkx1hpFhlx+5VIzLGxw3otLuDfDVpl6y4zW8t7ODy2blsLA0mQGHl8w4NYlaBW0WN2WpeiwuoQV9wjFmQLtGCW072qw09juYU5jAkrIUxGIRu1qHuebdPUjFIi44IYtbFxfywoYWzpuWyZ4OK0kGJRq5lHSTike+rUerkJKkU+ALhLhpYSFVaQYc3gC5CVkQgfoBJwe7rayekMbj3zXEvI9vD/Vx06JCXP5QtNg89l3DqGY/jcWlSXSPeHhsbWwE5462YU6dmMYHu7qi34MnEOKMyel8srebeYWJY6xWX97cyuNnVlPTORItys/+2MQlM3NI0MqRS8UQAac3QFacmlkFCRSl6NjbMUJZqoEZeXE0D7roH+d0+11dP5fPzmF5RQoOb4inf2iK8hJcvhCH++w8cloFMomE698T0ud0CinXn1hAZbqepaVJNAy4eGdrO0vKU5BJxPTZPCwqTQKgIEkbzTA/gmA4woFuGy9eMInDfQ4G7IIt67M/CgVycVkytT02Hl3bENOOv+fTg1w1N48/rq2P/qyh38nvV8Vxz4oSfjg8wGWzc9jfZcPtD7G91cJLm1p44qwqvq8bRCGTcMmMbPpsXvZ3CeYyV8/LY8cxCYKZ8Wo8vhD3rS7F4QmhVggt4u4RNzkJGt7d1sYti4u457ODrK8fZF5R4hieBgin+Rve34dGLuGKOblY3H4MStm43a2cBA1KuWD6cmwxtzh9YzTkJxYnkTZOh21Xe2z2wsc72/nTORP4dG83B7ptLCxJZm5BAkrZf6987euyc9MH+6Kjsz0dI1w5J5dUg+Iflr79b8HPhf3fALNezpmTM3h3RwdWd4CXNrWQblIxvzCRa+blYzYqiVNLSYsbW6AO99h4eXMbnx1jAHPXsmJSdAr02n+8nTQeTshLoNisweoSolsDoTAvXDCRQYeXNKOaXpsXqzfAqRPTOdhjp6bLhlgEq6vTiIQj5CZqmJxlYteopn5uYQITM4yo5+dx96dHzS/OmJQejXytzjBw5ZwcxCIx9x13WgbwBsNjJDHbWofptHrwBYO4/GFCYdCrJBSNEgUDx8zqZ+Yn8FVNbwzRy+Lys6t9mFWVKXSMuGkbclKWbsTrDFOVbohqeUHYGKSbVHy+v4ezJmeQm6Dh5U2tKKRijGoZaQYV503P5KZFhfTbvLy5tZ3Hzqgi1aCk1KynttfORTOyuOfTg9F27Ee7u1lSlsyULBPbRrXJwXCE17a08egZlbx4/iTe2tZOqVnP/KJEVj6zmU+vmcnKyhS+rOnD6QuSqFVgNql4Yl0Tn+7rZlKmkSvn5JKboOaR0yo51GMf9/QUDIVJ0iliTs4DDh8f7upkdZVZKLjHIU4jj/IREnUKJmUZCATDvL29A8+oJ/nY54lAJBIzGw6EIvx5YwsVaQYum5WDxx8k3ajmUI8DuUSMSiomO17D/k4rX+zv4fLZOUjEY1+PRi7E2gpRpkeJknqllHAkQrfVQ16ihl9/WhPdqDl8QR5dW8/jZ1ahVUh58vtGzpiczl/3dnP21Axe3tRKIBShIs2A2x+KesQfC7lEjMXpI0knRyEV8+72DgqStJw7LROtXIJcKhljIevwBclLOtoNU0jF3LiwAJ1SSuewh1MmpnHdu0cdGc+YlI5CKuHTvT3Ea+VMSDdS12ujJEXHkrIUCpK0ZMSpiNcqqMo0IhGJ0CmlxGvl0XjkI0gzqbl6Xh5Xv72HwhQdf75gEt0jHsxGJWWp+hjCqkkti3Jcrpmfz583tmAbHRGWpOh4YHU5D4xaqaYZVdy7qpT8BDWXzMiJiVT+sX6AJ8+q5ttD/ezvsjI7P5GZ+fHkJo31xCgx6/l079H17Z1dPZhNWq6ck0MoHMYbEHgpyYbxx25HEApHxsy5d7cPc7DbNoYP88ZPbSyvSPlPC7vD7aXH5sekFpNk+J8L6/qv4ufC/m9AVoKOMyYLxJqNDYMUp+iZXyykDP1nSUOdVk9MUQd48vtGJmQamfrfKOxN/Xbahz3Y3AGUcglxGlmUcAewp32EpgEndm+A7AQNIsJkJ+pJ0iiwewJsabKgkIn5y85OpmWb+N1JpdR02XH5gwRCIQKhCF0jHh45rYIuqxeRSFhoVz/7E7Pz4/nTORMYcvpJ1ikoN2vJGDW/qemyccErO0EU4f6TK2IS1KRiESb1WBMYkUgIianrc9E04EQshjSjCq8/TFWmiex44RQ96PShV0rH+GCDEHLz+PdNjLj9nDYpA7NeyeubW1lRmYpELGZPxwipBiXXzs+nptPKs+dM5OM9nayqTqPD4uJgt53ZhQmsqDCzrcXC29vaUckk3Le6jDiNjGS9jEdOr6DdIsScHjtjBUH3fFJV6pjXVd/rYGV5MqWpFXy6r4v7vqrjy2tn0jHiZVm5mVMmpOENhMkwqXh/Zxf5iRqePmcCdb0OOoY9aBUyzHoZ2QmaMUZBBpWM4hQdH+3u4tbFhTy/oYWmASfpJhX3rCjh0bUNLC83s6AokR9G/dZFIrh1cRGPrq3ngumZJOvlXDU3nyve3B193F6bF4NKFi0EAGdPzeDdHe3MLkgcc9o7ZUIa6UYlVk+Qi1/fGe0ezC5IQKcUrFyLkrWkGlU09juoTDfEjIQunZWDyxdiYpaJZL2Sbw71kR2vZnpuPE9+38hls3Kwusd2X3zBMENOP0a1nDaLi3aLK2rXe/OiQup67Zw7LYMErYL8JC23f3w04GhpeQpZo0ZBB7ptFJv1PHxaJXKJiJc3tbCsMhWtQho1OjqCRK0ck1rIgR9weNEopBQmadjeZsUdCPHk940xKogPd3dx86JC1tX1s6QsmQGHjyfXxXql339yOdOyjfRYfUgkItL0SnJHQ3AG7E6aB730jPqw58WreO3iybQMuXH7g0zONjFo9/Gr5SW8t72DDQ2DVKTr+cWcPHa2jZCgldNn88Z8l3V9DvZ1WXn38mmMeIR2vlgUIRwRsbraTG6ShvWHB8lP0jAzPwGpCE6dmMrFM7Np7LWjkMVuzjxeH80WD/MKEwn6g/zxe+H9pRlVTMmJIzfxbxtjHYvabit1fQ6+rxsgdVSKNjNfWNNs7gDjjealYhGicXMJj2J32zCf7OtmXd0AuQkafjE3jznjyG//N+Dnwv5vwoTMOAqT9Zwx6vssk45tV4+H8VrCnkAIl298j+T/CLvbhnl2fRM/HBYW61KznmUVKRCB6XkJ7OsY4TefH4whZD1yeiVSCfx1XzcvbTpKnLl0ZjZraweozjSRalRwoNtHY7+DJeVmylJ1ZCfoyE3SUdtjpc3i4ferykg3qei1eihK0uANhllbN4haMUxhkg4x4PIHCUdg2OXj2XMn8Nm+HtRyCauqUknRK5iQaWRvhzX6Gk6dkIZSJmbE7eeDXZ0MOHxIR9OqDCopFekmnj13Aq9taaNjxMPJ1ak8cVyghl4p47l9wkljyOmnKFnHvi4bNd025hcncd2CfIqSdfzqrwdw+IKUpeq5YHomz29oQQTMK0ri1OpUWixuzAYlz583AbVcyog7QKZJGfV618jEHDwuKhNAJZOMy62I1yk40OOgMFHD1Ow45hQk0DYkpNa1DLnZ0jTEdQvykIhF+AKClPLYIpsZp+bJs6qIV4r5w6nlPPdjM1uaLJSl6bnohGwe+KoOdyDEnMIEHj61AqcvKHiov7WbYXeAn5ot/Gp5MSurUnH7Q5Sm6BCLRbx64WT8oRCJWgUf7oqVE766uZW7V5Swp8NK04CTJWUpKGVi3tzaTo/Nx6OnV/HRbsFb4NypWZSm6hlx+bn5w30x8+dNjUPctKiQdXUDnD01kz9vaOHimdmckJdAY78DuzdInEYumLdEIiRoFVw9LxexWGBf/2FNHSdVpY4G2kTGSAclo92Xd7e1M6cwkZc2tfL0ORO4/r19bGgYJCdBw6EeG4+eUYnN7efZcyfSPeJBJZeglktYf3iAK2bnolZI+aKmh1WVZkJhEQtKUlBKxRQkarhvdTm//7IWtz/EbYsLKEzW89DX9dg8Ac6ZmkHbkJtTJ6ZhcfpJ0ivGtXT2h8LMLUpELhGz9rjZOsBPzUMUpWjJTVDjDoSi3vOtA3a2t1u559ODBEKCBO72JUUsK0tmUnYcB7qsfLq3h7e2teMLhjlvagZvXDqFlze3cvHrO3n+vIkkHVZgdY8liDb0Oznca2fEE+TuTw9icfo5c3I6FWkG7v3iEAVJWiZlGgmHIzyyrpFd7SNUphu5aWEhvVZP1PBqT/swXx7o44v9PaQalFwzP49vb5hJfb+L7ARN1HHuP0MoHGFL8zAPrDnKIfl4Txcvnj+RabkJJOuVSHpsY2b2V8/Lp+hvmHUBtA46eH5Dc9Sop3d0BPLqxZOZOk7ozL8bPxf2fyOON8f4e5AVrx6T/FWYrMVsGGsB+5+hptsWLeoAtb12KtMNmNQypucl0DToGmPI8ei39fzp7OoYNizAm1vbuWZ+HiNuP4+tbeDMyRnkJWp4/scmHj+zCoDGfhtv/tTBX3YdncM/cWYlFneAm94/mqSVnaDm8TOqomxiiVjMG1tamVmYRCAYpNfmQS4Tc9eyYra3DNPQ76A8zUCJWU+vzcd7OzqiN20wHOHpH5uZlB1HdqIOXzBMx4ib7HgNQ04fV87J5auaXvQqKReekM0bo97TRrWMC6Zn8ejoDDQcgXV1A6yrG+DiGdnRXf+hHjsDDj/nT8skN1GLRi7hre0dfLCri1A4wqQsEzeeWEBmnDImwMUdiBAOM4bJfsH0LOxuP/HHtLknZproGvHQOezmpEozb2xtp6HfyYLiRLLi1cwtTGBWXjx7OkZoGnCxoiqdez47GPP9dAy7aRhwcmJREhGPn8tm5XDaxHTkUhFyiZjrTyygzeLiye8auXtlKW9ubeOMyRkMH7OR/MOaw6SbVDx4SgVP/dBIm8XNwuIkFpelEAiHUctjr2eXP8RXB/q4d1UJgZAQ2mH3Bnns9EqSDUp0SimPnF6Byx9CDKikYlw+8Zg2KUCCRs6ti4t4fn2zQCILhBh0+HhqXSMKaez98MqFkxlxB5hXmMikTBMSsYjH1jawt9NKil7JHUuLuf+r2pgiF6+Rsb/bxqqqVGYXJPLot4d5/Mwqem0eJGIxRSlaEtRyvq8b5M8bW0gzKLlybi4Ob4QkvZKmQReZcUrOnphOh9VL86CLcCRCnEZOdryaRSWJZMVPRioGmzfEFW/uip76H1hzmHtWlNAy5CIrTsW2FgvFKbqYeFYQ7vM1NX0UJuswG5XU9opZVZ1Ksl6Jxx9CKhHh9Aa5/aMDDDl8nD4pnVMnpuEJhPj9F7XR+yscgT+ubaA8zYBWKaZp0BVzP7+zoxNvMMzKihTWHOjj8bX1/HpFKf0OH18cxzFYXZ2Kwx/ioW+O5lG8sbWds6dkEK9VsLfTxhmTM7jt45qoo9/u9hFuel+QgALYnG4+3NXFezuFdWHQ4eO6d/fy8oWTOakqNcbLY9DhpKHPQ8eIhwStIFUsPsaTo77Pzp83xVojW90B6vsFB8eyNAMWlw+FTELXiIc+m5eFJclUpOtQKv+2FXSf3c+641QiTl+QlkHXz4X9Z/zjmJoTz5/OqebBNYdpGXIxOdvErYuK/suOSm6fP+a0ewQHum1Uj2qjXb6x3YGhUZOQ42feR0g3qQYVvTZvjNVl27Cb8nQjHcPemKIOghzpqXWNMW3KtiE3h3rs3Lgwj9XVaSikYk6emM73tX1cPS+fd3d0UNfrYH3DYPSE8+2hfhK0cv54RuUYzSsg2J0e7CXVqMIXCEfZ6olaBXOLElldlcq6w/0c7nNQkarnzCkZrKvrpzhFPybMxaSW4T7GCjcUiVBi1nPNO3u4Z2VplKAHwiL24e4uFhQnkm5SI5EInRl/KMwLG5q5aKZAgDrCTN7aPESqUcWz507gpxYLEpGIliEXb29r59bFhVz+5u6ooVHzoJOTq9P4Yn8Pv5iTh0gsiracXcc47JnUMi6akY0/GGZX+zD1fU6ePOb7qc4wsqoqlRFXgHtOKiUSjnDzokKGXWO//7uWFXPV27ujI4RXtrRh9QQoSNIyLTeOt7e1R4usWATLK1Lotfl45scmTp2QjicQonNYIL/t7RwhO17DSZVmCpO0/GVXF8Upuhg+BggzbLFYxMd7upiSHUcgFOaxtQ2CW1+EmKKeEafim9o+PtzVxe9OKmVSlpEf6wfJjFezt9NKv8OLUirmV8tLkEnEaOQS9rSPkG5ScduSIu78+AAV6QbOnZZFOBLh03092NwBzp6agaEwgZl58fx5YwtnTsng3e0d1B9zrT10agUTMwzUDzhYU9MXdSWcXZDALYsKGRklUIrFIowqWUyE6DvbO7h9SRG5iRoWlyYxJTuOlze30DnsQSkTc+OJhZhUcsrS9OxotXDm5HSmZMfxxk9ttFncGNUy7lpWjNMXpHVIIKi99lMb0lFTKvdxI59QOMKA3cvUbCNtQy6Ox/r6Qc6YnM4NC/NJ1Cqp7bWztdnCrYsL+WBXF75giFMmpJGkU8SMQ45gbW0/y8tTaLd0IJeIx9j0Djp9dFs9TAI6rH7+epxrWyAUoWXIRXWGEcMxY7cNDUJ4zBFuzPnTMjn/hMxocY8wfppd+BiSw5zCJBK0SqxuHwlaxd/lFSKViFDJJGM+R6Xs7+u0/k/j58L+/0MsKk0hw6TC7Q9jUEnGkGP+HiikUqrSDWN0whVpBjLjBFJKToIWqVgUw5RdXm4mK149hkSUolcyMdPEN4d6WF1t5typWRjVUjbUD5CiV/DBrk7GU5JIJeIY7fsRdAy7KUrW8cdv66nvd5BqUHL70mJ2tA6zpCyFSISoj/2Qw48/FKbH5iUUFsJBLpmRTYpRid0TIFmvJBQK8e7OLuI1Cn6zsoQb3t/HiDuAxeVDLZfwzI9NXDknh52tw1w1L4/r3ttLJAJ3ryihvs8RNT+ZX5RI54gnSoYqMevIjlfz4sYWxGKhCB+PHa3DaBQSsuM1VGeaaOx3IBWLuHZBHr1WLw5fgE2NA+iVck6ZkEapWUebxc2fjpuhahTSMWl8X9b0cOWcXOr6HOQkaJiVn4DZoOSiGdlIxCLaLW4mZhq578s6PIEQ18zLG2PSs6/TyvyiRKozjMzITUAlF2PSKNjXMTJm3GHzBMbwAj7d18NfrpiGRCziV8uLaR504Q+GyU5QC9dPKMzikmTe2tYWY9V6ycxsvq8bIEGnQCwS0W318Pa2du5YVoLypza2NA+RFafmwhOyiYTD1Pc7WFFpjuqsa3vtLCtPiRr7yCViLp6RHf33h7+p57nzJjApMw6JWMTdK0oYcvhYc7CXDQ1DTMw0MTnbxLA7wLDLz85WC4+dWcWIy4/ZoOSqt/cwuzCBnAQNf97UQjgS4eTqVB4+rYJIhJiiDvDY2gbuWVmCRCSKyRBIMSh55Nt6fhqNQ1XJJNy+tIgHvqqL3ltGtYw4rZzXtrSjkIqZkR/Pk2dW0WPzEghGcPoCXPX2biRiES9dOJn6PgdvbhWKOgin0l99cpBbFhWSoBU8HVoHXXy4u4vl5eYx96tCKibVpEIkloybEVBs1uHw+DEo5Qy7/MRr5WxsHGJvh5VFZUKi4u6OEUbcfrLjNVw0IxudUkrroItvD/WRolcyOCr/U8gkiEfDj46FTimofmQSEUa1LMbP48jndGwXaF/HCPd/VRdDeH17ewdLylLw+EdQyyUUJ+tjJIMgxPIWJscS3Ur/i+EsGQYFv5iTxxPfH1WUlKXqyUv832GQczx+Luz/YrT2O7D6AviDEWRiESkGOammf5xN+Y96HkskYqozjMwrSmT9KCGqLFXPykozuQnCxVqYouKpsyewrq6PE0uS6bN7MShleANh/nT2BB5cU0ddn4OqdAN3LC0mx6RAWZ5Kr9WDxeXnpU2tuP1BEnQqdrYOM6cwMca3HqCmY4STq9NidOMABck6bv1of9Q6tsfm5c6/1nDF7Fyue3cvz58/kesX5JMRp6bH5iVFr8Di9LO/y8rjZ1byyd4e7vlciF3VK6U8cVY1+zut9Nl99Ns83LyokAGHIE36rrafQz12LjohixsXFbK/62iwxWNrGzhveiZquYSKVANxGjm9di9Ly1JoHnSQoleRk6ihsd+JwxskO378RVIpk9Br87JncwsgYk/7MFKpiAunZzPg8DG3IIkErRypGApTDEhEIiZmmtgzaiCikUswKMfKH5UyCf5QGEUoTLJOQWGyNkajPrcwgQH7UWmYVCIaN4s9FImwqWmQohQt3VYPeqWMkmQ1v14utIiHXX6yR932jodKJsHmCbCmpptzp2ejlEmwuHz4AmH8ckGdoFVJx/ivv7u9g0tn5vD5vh6mZMWhVQjWs8/+2MSF07NYWJKE1RMg3aREJhFz3fx85MfwD7452Mcjp1dQbNYLemyXn5c2tkZPVZ5AiEM9dh77roErZuUwv8jIvmCYw70ObllcyN4OKz0jHqoyDCTrlZw/PQv/KGvf6Qty/ynlvLW1Hbc/yIUnZNNn9dJn9xEKR8ZVFoy4/ULHJ01PmlFFt1W4djPj1Hy4qyv6e55AiE/2djO/OInvavsRieCKOblc8MqO6Hfz8uZWXrt4CjVdNj7d2xPdWK6qSuX3X9YyryiJ1qFY8mcoHEGtkLKyMpWaLitzixLJS9QiEQvdhLv+eoARdwCdQspvTyolXiNDJhFTmqJjWk5cNCVOr5Ry9dw8RCJoGrDw7o4Ozp+WSUWagQPdNv66pxupWMQz50zAbFTSbnHzyuZWhpx+ylL13Lm8GKNKRvuQm8LkfGxuP4+eUUXLkAuxCNYc6GNChuBeCIKn+k0LC7nzr0djXC+dKWwU3tzWTlacioIkLXZvYFyO0YEeG498U09+kpa7lhWzsFjQ53+xX+jQnT4pjRn5/xjJLcWkYUFxArmJGg5220g3qSg166n4O2f//9P4ubD/C9HQZ6VlyMOWpiF8wQhTc0y4/EH0Cila9b9GmvZfwaTsOO5cWsyFJ2QRiUC6SUXRMW2pFL2WFZVaAqFw9AQLUJVu4HcnlfHceRNw+kLEqWWkxWnwB0N832AhTiPnunf3RHfoPzVbeOjUCl7a2MSjZ1Tx8DeH6Rz2UJ6mZ2pePP7RuNMvanowquRccEIWEInxgwchfSuC0Pb/aHcX1RkGbvuoJvrvq6tSuWRWNr1WL29sPWpTavcGeeCrOh49o4rzX9nBuvpBzpuWhUktw+ELcf70LBK0cvITNHyyryemeHgCIV7e1Eplqp68RC23vLETu0cga923uowZuSb8gTDzihL5y04hbnVuYSLdVg9Ly1NQSiVUpuv5rnaAq48xmTl3agaLSpO59t29o1apcPbkDFZVpbKxYZCceAV3LS/mQLcNpzdIukmF2aAkJ0Eds6CfNy2TnW3DLClNQS6V8PYxdq4AGxqGmJF3VOWwr8PKjLz46OkRQK+SUpVmJC9Ry28/q6Vp0MmdS4vIiFOxoUGYKQfDES6flcOisuQxeuQj2vpFZansbBshXiOnKt1Ix7AbpVTCsMvHke1AUbKOk6pS8QZDyCViUvQK2i1qjGppdJa6r9PKoR4bU7LjEItgVl4CT65rYHOThduXFMW8v82NFrpH3MwuTOSFDc0xm8bseDXxGjm3LCqi3eKi1eLmr3u7uWhGNj/WD1CVYWR/p5U/rBHGMg+cXM7z65vpsnq4a1lxNPAGhDS9WxcXjmbL67A4A2OY7svKU9jQMIhELOLMyek88X0jErEIj38ssbV5wMmlM7PJT9IyMdPIpvrBmA2XLxjm073dnDwxNWb+nRWv5vP9PUzPjR9XeieGaEb5ng4rBUlapmabSDUoePXiKQw6fJg0ckwqKSq5sFGsyjRx3+pS2iwePIEQaQYlwy4fSrks6h739mh40LKKFIwqGU5vkPvX1HH2lAye+L4xeoo+1GOnLFVPbqKWP29qwRcUpKInVaXyzA9NSMUibl5cyLyCRApG2+disZhpOUb+fMEkanvtFCZr+eue7hjDq9+sLGVuQQK5CZqYrtixevmmASfXv7eX1y+dykUzcjh9QhpyqQiZ7J/j116RbqIi3TSuauV/G34u7P9CdFt93PCXowzfj3Z38tiZVXRYvZT+LyjsAMVmPcXmv92WOtxr56GvD8fM1Pd32Wgane/KjtE3W10+Wgad1PdHxrTd3t/ZyeTseO79vJY7lhWRGacmSatgxONnwONnVkECyQYFQw4/Pxzu54YTC8aQBIEoY3zE5WdzoyXm3z7b38Pq6tQYtusRtAy5kEqEwlGVbkAuE/Obz+vpGj1VpRqUPHFWNQaVjP1dNmbmx7OlSXh8iVjErUuLuPKt3dHCMezyc9cnB3jtoilMyo7j9Enp9No8bKgf5IYT89nYOMSLG5oJhCLcvaKEd7bH+qGXmPU8v74lOoaIROC9nZ0UpOjY12nlvKmZTMwykWVS4A5EMKmkHOpzctrEdELhCIMOH4XJOiRiyIhLQyISMeL2x/jqH8GxBkEbG4e4bkE+OQka1tUNUGzWcfaUDJ5a14gnEOKSmdlkx6mp7XPwU/MwcwoSqO22YveGSNQpeHztYa6am0ubxcOQ00dmnJqtzRZOn5ROy5CL17a0YnH5WVCcxC/m5NJt9SCTiskzqclJULOyyhwlJAIsKk3iyjl5pJvUTMk2RRnrgVCEn5ot3HBiPm9ua2fz6HexqXGIy2bl8NbWdvyhMIf77NyxtAiRSMSdy4p5eVMrXSMeSsw6Lp6RTSgcIRyJMDUnDrVcQrvFTUaciuZBF5XpRna2CR2RFL0wR+6yekjWK8YdqXx1oJfZBQmIRSJKzWpeOH8ST37fSLfVw4klSRhUMtbW9nNiSVLUwjlFryR3nHbtrIJE3hntWOQnaMY1a3L5Q+xpt7Kq0sxn+4XNRygcQSEV8+nebq6aIxjcHCmqV8w+6nR4BI0DTtosblZVp+HwBjAopPjDYcxGdQx516CQ0jni5r4vj3Z77l9dHvNY7+3o5OwpGbzbNBRl7XuD4TGhP1nxGh46ZlO0v8smZNCPcice+aae4hQdpRztOuYk6slJ1LO4LIU1NT0xMbEAT37fwKRMI/edXMZvPhOin01qGVfOyY3htLj8ITosLqZkx6FR/W0y3P91/FzY/4XY0DBIcDRhKRwR/vt0Tzd3LCv+d7+0vxu+YIgBx9gZuN0bIBAOI+NoYfeHYEZ+AlubLWN+XyYVZq2DTh8NfQ6WlSVT3+/k5g/202Zxk6CVc3J1GicWJzEtJ47vavu4Yk5OzJz5jEnpbG4UxgZnTsng158cHPM8Ln+IVOPYTVNJig6nJ4BJLePUSWn8WD9AepyKs6dm4g0Kznm1PTYmZZl4Y2s71RlGbl5USDAUZmpOHIMOX8xpEITYzyMt0snZcfzupFIGHH72dI7wzI9HzTns3sCYjY5JI4+22Y/FsMtPZpyaIZeXna3DOLwB0kwqlDIJ+zqtPLq2AY1cQrxWzo7WYaweP3cuK+auvx7k5Oq0MTNxvUpKqlHJ+dMyeX9XJyq5hHA4gscfZF5xIidVpHDeK0ddBH/1yUHuWlbMI98KBWNylpE7l5XgCYT4w5o66nodXDA9h23NnXSMeBh0+DhlQirBcJg/fnu0YK+rG0CnkJJhUvL0jy38Yk42v1lZyk0f7I95v9/VDnDGpAy2NA1iUAm67te2tBGnkTM9Jx6zQcnLx8gqt7ZYsDh9PH/eBPodPmp77PzirT384ZQK/vhNPSurUknUKWgbcnH3pwe5el4ef1rXxKqqVC6blc3ls3Oo6bKPGrEcJX2lGpVR0pk3EB7XLdGklmFx+hh2BZiYYaDCrOG3J5Wy7nA/3xzsx+ENcOuSIl7Z1MqDp5bz9mVT+bF+kP2dVu5aVsyf1jXi8oeYlhNHaaqe9fUD1Pc5SNTJOXNKBluOu2+qMoxsbBjk+hPz2dtpQyoWkaxXcNmsHJ5b38w7O9q5/sQC4tQyzAYlarlkXJncEZMWjVxKRyiIGBE724aRiESkGBTkJerotPl48rtY6afF7R/DscmMU8c8h/w4aaZIJOSTH4+tzRYuOCErSoq0OP1saxnCpJZFDaSOwDaOKsLuDeIKhJiZn8hjZ1TRZ/cSr1Fw/V/2EiHCHUuK8AbDvLK55d+WqPa/CT8X9n8RnC43FWlGrp4nQ4RAEntlUwueQAjNv4BJ2TZop8s6Go9oUjEh829nrf9XkKSTs7QsJeoRDsJCkZugiSG27G0f5p3tHXyyr4dnz53A29s6Yk6P507N5K6/HuD0Ud9sjVLOwR57lPwz5PTz8uZWdrRamJoTx1vbOikx67hvdRlquUCi2dgwgM0T4FfLi/EGQty6pIg/flMffZ5kvYLMODVyCdy8qJCnfxDY9il6JXevLOXPG5q5cWEhh7qtyMRi8pN0MafHK2fnskAtE5j1fU48gSBF6QbSjSp8wfCYRU4pE5N0TOxnTqKOur7eMczZPpuPnARNtHAADDl8TMw0saMt1j5Tr5TiDYSp7XHw4ob9BMMRchM0PH5mVbRr4vKHcI2OKSRiEW0WN75gmA92d/LcuRP5dF8PW1uGKDXr+eWCAl7f0sas/HiumJ2LNxDio91dDDh8qGQSipPHmn5sbx2mOEXHoR47u9qtbG8dptSsJUWvpK7XwXXv7eHuFaUYVDL0SmHjsLZ2YMzjfH2wjzcumcra2kE+29dLRbpp3Blp86CTylQ9Hn8Ytz/EdfPz+HBXFzd/uJ9FpcnkJmqjIUJZ8WrOmprBM+ubsTj9LC5LZmVlKhKxCJc/xPs7j57ejnUd+3x/D2dNSWdBcSL+UIT5RYk0DzjZ1iJ8/vV9Di6akc1PzRZsngDxGgV6pTTqkCcWwUUn5PDQN/V0WNx8eNUJKOUSMvRKpuXEIRGLcXiDPPNDE8srUohTy/nF23uilrrpJhWPn1mNTCKidciFzRugPNXAk+sasXoC/GJWJg+dVsFfdnQiFYtYVJrMp3u7WVyWjNsb4tJZ2expt/LIN/WUpxm4bUkRkUiEvEQtH+zq5MdRnsyUbBO/mHM066A6w0iaUckdH+5jWm4CGXEqnvi+MTqKWVyazLXz8/EGwtH0tiP4aHcnD51WwYNrDmNx+cmIUzEx0xTji7+nY4Tlo7I4ABGCrezxKErRjfoICAhHItzyQQ35iRoun5PL7IKjM/D8JO2YiN2p2SbSDEo2Ngxyx0f7qRx9X/euKqXb6hU+N4mIe1eVR8m//xtgd7posvjwBMKk6BXolTIS/wmBM/8Zfi7s/wKMOF3s6xJODEdayTqFlGvn55NsUJL1N7zM/7s43GPji5peXtjYQigcIV4j59Ezq5hflPQPPW5N5wiv/9TOotJklDIx/XYfSpmYk6vTKU87+h76rC4+398bDW547scmnjqnms0NQ7j8QZZVmEk1KHjviulkxasxaRSEwxEszrGGF702H0WjkYfJeiV2b5A97SOcXJ1KZboRqyfIU98LJ58UvYLfnFTKI98cpirdyDXz87jvq0PsarPy6oWTeeuyaTi8ARK1Ct7b0cYls7KxuQMYVHIq0gzc8P6+mOf+6kAvS8qSUUolnFqdTCAUZkPTCDc8/xPPnjuB25cU8dA3hwlHBKeq364so+oY8syhLitVagtTkvsoXKjimRo4PODhk71d3H9yOd8c7GN76zDVmUYy4lTcuKiAm9/fT59dmLGfPjGd4hQdvkCIJ9c1RTcRLUMunvmhifOnZ41JAzxjUno0hU0hFdzPem0eVlelkZ2g5pkfGtnaMkxBslAAho75zM+dmkHr4NiWs0Eli0kEax1ykWZUsbg0mZ+aLfiCYe79opYErZxHz6ji9o8OcMH0rDGPkxmvxuLyctOiAm75YD8peuWYUBeZRIRSJsHqDXLXJwewe4JoFVKum59Pil7Jj4cHuP/kcjY2DNJqcbG6Ko0/rDkcbf++vKmVy2blkKSXM7sggU2NR6WJp01M58djfBqkYjEvbGhh3eEBDKNhQL9eXswDaw4zJTuOErOeR8+o5Ol1jby0qYV7VpbSNeLB6gkwKdOIzetHhIhblhRx/5o6vP4Q507LpDpdz9TsODqH3TxyeiUZJiVtFg+nT05HKZWwuWmQbS3DXPvuHv5wajnPrm/G4Q1EZ8ObGoc4c0o65al6lpcns6lxiCe+a2BFpZmqdCPdVjd7261RBcv21mG2tw6zvEIIyjlS1AF2to0wNTuOUyakkahTsKAoCZlERJxWiUYhZlPjUAy/Ym1tP9Ny45lXkMCEDCN7R7+b/EQN187Px+Lyc+PCQnIT1eiVUhI1Uu5ZWcrtH9XgC4bZ0DDIQ6dWsKA4iQ6LG6NaTopeydKyZL4ZNdHRKqScNjGN339Zh1gEV8zO5f2dXXRbPXRbPezrsvH6JVOYkGniYJeVVzc3c8fSYt7b0UHLkIuFxUlcMz8PuVTM7vYRTpkoXPNKqQSLM8C9X9RG388tH+7n+fMmUpCsZ8DqosnipdfmwaxXkh2vJu0/CIn6Z6O+18aGhiGe+F4Yc1WlG7hnRQkyqRjjOM6Z/0z8XNj/Bei1B/lkb3fMfNjhC9Jv9zI5658f1tIx4uHZY1KZLC4/939ZS6peQdHfyZ7vGXbSNuylx+YhRa8kw6jiUK+Dv+7tZlKWkak58XyytxuFVIJGIeH97d0kGVUkauUk6RQx4Rg13XaufnsP959cxqy8eLITdVjsDjqtQQ73OUjQepGLJRSbx54WV1aZSdcruPHEAjY1DfHHb+uRSUSsrErlD2sOx5wq+uyCVO3ty6ehlIo448Vt3LAgn+vn5/Pxnh72dozw4KkVvLG1jRFXYDT1TIPVHRhNljr6vAtLkshJ0HLxazsJRyJcPCObxWXJ3PnxATyBEM/80MS1C/J56YLJWNx+MkwqMk1KdraPEI5EMOvlZNh3of/yCnAPs1IsZeL0e7i+voLG4RApoyYiZ0/JoHHAye+/qOOSmdk8f/4E+mw+5FIxgw4vN72/n2G3n4tnZKOQColwAFuaLVwwQzjV/VA3SEO/g0WlybQNHTURunJOLn/d003XiIeaLhuPn1nF1tET6SubW/nlggK6rW76bV4qM4w09DuYkGmKOR0pZWJKzHo+OUZXnBmnpnXIyRc1vdy5rJhgKIJSJibVqOKeTw/i9ocoMeuYlGVkd7vweqViEVfMzuHTfT0c6rbz4KkVvLujnaXlKcilYna0DpNuUnHzokIy41Vc8uqu6Hfr9AV5cl0Dl8/OxeEN0tDvoGXIRXGKntxEDQqpOKYr8lVNLyl6BTctLGB1dSqdw25UMgl7O63Rk/6F0zP5YFdndHZrdQe4/6s6Xjh/In+5YhrPrm/ml+/tRSWTcM28PMpS9by3s4OfmixIJWJKzTo+2NXFqRPTeOAY1cH+rgOCfj1TT15iEl5/gC8P9MU4Gl4wPQunL0h9nyMqH5OIRSwsSaIwWYdaJuHtn9o4c0oG84uTKDbruWhGGLVcjNMbwqiWc/rkdPZ1WWNOvauqUnl/51G2/RFsbRkWfAF2dkRjieM0MjLjNfx5U9uY39/SNMhJFSn8ankxT//QRCgc5roFhfzUPETzoJO1h/rRq2Q8d+4EKtJNTArDG5dOpXvEjdmg4sf6gRgXSqlYxDtXTOX0Sen4gmFhTCCT8MRZVRhVch76+nCMHNDmCdA25GJCpomWIRdfHxrgh/ohlpSlsKg0mcYBByKRSFBZBEM8v0HoRlw+K4f3j/PFAPi2to85BfGsPTzE776oJTQ6Dv3V8hJWVSb9j3m8tw17+MNxXINn1zdz/+rSnwv7/x9h9wSis9dj0W31IP87rWP/K+g7Tge+ujqV+cVJbGkeprbXQW6ihqqMv92at7t8rKsf4t4vaqOcgF8vL8HpDVKYrMEXjPD7L49KUb6vG+D58ydy2Ru7uHNZMVlxarLi1WPe86DDPxrvGWZPp51Hvqln0OljcraJ25cUkWlSct/qcl7cKLRVz5uWwbyiJL47PEAwHGFBURKdw25ECBru8YhhQqiIMMN77rxJvLWtjXd2dLKwJJmHT6/E4vTzy/kFrKsbYEvTEE0DLspSDfTYPMRphEVWJhFRmW6MST17dn0zaSYVT51djVou4dtDvZz/8g5KUnScOSUdlUzDM+tbog5zT65MZfWuW8A92loPB0n96bf8+czPsGoKaHWF2dY6jN0bpCBJy0mVZu765CChcITzpmWyrm4gJgnttS1t3LyoMFrY5xUl8s0BIUDjyjm5TM42IREJzO8pOXHolVL+sqMzOv80G5RkxamjbVNfMMyja+sxG5T88bRKrnx7N25/iJ2tI9y2pIhgWMj4rkw38ObWNkBoZZ8/LZNErRyRSMQfT6tkf5eVXpubqgwT6UYVD55agVYuoc3ipihFx6qqNFy+IKFIhKe+b+K0SWl4fIK96cQME29tbSfFqOK6BfkM2H0c6rajVUjGtIG9AUG+1zzgZEPDIJlxatbV9bOhQXD+e+6YjaxeJWVfp43cBC2rKlMZdnlpsXjY12klQStnak4cp05ME7IHjkObxU3boDN60vcEQjz2XQO3LymiKEXP9pZhbl1cSOuQm0GHj8OjNsAVaQac3iCtFkErPi2nknDYT589wJDTF5WGAbyzvZ0bTixgwuhmak5BAvOKkvh8fw/rDjczKdPE8gozLUNuZufHU5Csp2XQzv5OO3d9cgBvIIxcIuY3J5VyqMdKn83HmZMzCIXDFCRr+bE+dgxSatbxfd0AgWCEDJOafZ02IgjGTyfkmOgcdnPe9CxC4TASsZh0oxKXL0BRip7fryplf5ed697dg8U1Kl9bVsxDXx9md7uV6XkJpMfrSI8HiGdX2/AYX4RgOEJjv4s0o8CPaOh3MDM/gStm5xIMh2O6QUdwxOjliBe9Lxjm8/09TMoyMS0nDiIgIsynx+Rk2L0B9ONIQI0qOYMOb4zmPRyBh785TFmq/n+ksHv8QTosY7MoNjYOMewOkvYvjm3/ubD/CyCRiDghN34MiWxpeQqG/4aN7H+GFMPRmU15qp5Ss54b/7Iv+rMFxUncvLCA8r+huazrd3L/MWYZ4Qg8+PVhnj9/InnJWh49hhQFgmtaTZeNomQdb29rpyBBWKh/8dbu6MmvIEmL0xek3wGdVh93fFwTJZDtahvhj9/W8/CpFcwqMFGeWk0wHCEUgYteParllUkEprNeKSNFp+D86Vkxi4hOISUzTkWyQUpZmpHL39wVneE2D7bQOezmtiUFWN1+ZuUnsLAkkb1dNpoHHYgQ8csF+by7vQO5VExNl3XM53IkbGdPxwjXLyjggZMFv2+VVML+LnsMG1fisSCyto15jLiRGuL8vWhTZvPQqRVsaBikptuGSi7h6nl5PPNDEyaNfEy86ZHPGQTS1oUnZLG9dZjanQ6e/L6RK2bnopSJ2do8jFQiYl5REtfMy+XEkiQUUglGtQxvMMidy4q57aOjoSX5SVrWNwzw7LkT2dtpRTV6QheLIqNtfj+XzMhhcWkKarmEP/3QFJUOlqfqOSEvHrs3SKpRxXmvbGXIGWT9LXPZ0T7Cu9tjT09SsYjJWXEMO/1c++4+chM13LGsmAGnjxc3tNA65OKWRYXolLIx/gYyiQiTRk6cRs7FM7JpHHAyt1CIFVUdR2w7bWI6r29p5eq5uchlElKMGgbsPk6ZmMbq6jQGHT7kUgmZ8eqY5DKABK2c59eP9V0fdvuZmm3itYunkGqQ4/SHWVGZgiQSYWWVmR8PDyCViLk9p4jva/uQiSK0j/h5YWMLB7ptTMuJZ0lZCo9/V084ItyjaSYVt35YwwOry3nyh8Zonvmu9hG6RjzctbwYz6ij4YAjwD2fHYp+Jv5QmHu/OMR7l0/ju9o+rn13DxMyTVw9L5ddbcboBrA4RYdx9Hp68NQKbv2ohuFRa2KpWMTz508k3aTmYK+deI0CIhHqeu3kJWrISZKxv9PKTR/si96rRz6vxWXJDI/jFS+XiInXKsZks+uVUq5/b190w7a2tp9+u5cnz6yKkv+OYEKmkRSDMJ7LTtAgEYsIhSPctKiQ/Z1WXtjQzFcHerltSREz8+L4aI9wXz70TT3PnDMhSlIGwVPhxJIkDvU6x/g1BEKRcRUz/xKIwKQZu+nIT9SikY/Ngvhn4+fC/i9Aml5BUYqWa+bl8fGeLiQiEVfMyaXcrCNrnJjCfxQZcSqunZfH8xuauWxWDr/+NJYt/sPhAU6bmPY3C/uQ0zfmJgiGI/iDYTRycVS6cyxkEhGeQJBQOIIzECFHK+aR0ytpHnQiEQsxlq9uaeX58ybSMewewwrf2TbCsMvP5Jx4SACfL8jvvqqNeR2BUIR9nVYmpBvod/hYVJJEqkHJp/t6KEjSsqLSHI3cdIzu3o8lZ319qI/TJqXz4NeHWVVlJlmn5N0dHYQjEU6ZkM6j39ZzYkkypal6+scprCkGJQe6BKa8eFQv+8Ap5VSmGcYkazU4FGDMBGusjhxdMt2KArrcSv60bj89o92V1iEXEzNNLClLYcAuyMaOT5ublGniqbOqyU5Qo5aLqUwzcMdSwXa0a8TDbz4/FD2RvL29g/tXl5GbqOVPPwjkqJIUHfesKOHlCyezt9OKXCKmsd/By5vb2N9l475VZWysH+SjUcvbjmEPD3xVx+NnVhGKROixeblkZjZPrG2g2+blYI+dRWUpvLSplbpeB69cNI21tX04RtvMJ+QKJLIBh5eGfiePnlHJ29vaWVsrFM4+u5f9nVYePr2S86ZlUtdrp77fwYjbx29XlvGbz4WQEqlYxK+Xl5BpUvOxtZt3th/9TCdmCgEiv1pWPGpMpGR9/QAPn1aJSiaiw+Ki3+5FKhGTG6+ma8SLXilla4uFq+flccsH+6PX2MRMIzqllJsXFfLZvu5ocQSBZ5CgVZCgldNl9fH6T+1saBikIFnL9QsKSDUq8QUj3PnxAf50TjU2X4hfjma8g5Bx3211s7zCzJamIZL1Cmp7HfxyQT4KmXhMIeyzexGLIGU0NnTQ4RvjMhgICd/Ji6Pt9N3tI1z/3j6ePmdC9Hd8wTC1vXbuXlEyyuA/WoyD4Qhv/NTGOVMy+anJEpX0nZAbz4y8BA5128a9Vw/12JlfLBgo7WyzMCX7qDd6QbKGWxcVcscx5jIVaXq0CumYLsz+LhtdVi8rK1MoS9WzrcWCUS3H7g1y4Ss7ee78iRQkqXj8jCq+P9zPztbhqJ1zu8XNjX/ZxysXTY4Wdn8wzLraXl66cDK72oaRScRMyYmjKsNAfZ8jhvwIQtFPNfzPyIxVMik5CRoWFCdG8zhUMgm3LS0i97/hFPpfxc+F/V+A1DgtEQQf8pn58WgVUjKMCuJ0/3HW738XJWYDaplgQxkKM4aVDeDwjpWQHEGKQYleJY0J31DKxCTqFJjUUq6YncMdHx+9cTVyCRVpBh5d28CNCwvY0jSEuCCRDJOK7S3D/HWvYN163+pyjCrZuC5diToFaoWUdosTmUiEQR0b73kEw04/7cMeTFo5HRYPr2xpZWKGicN9DtRyMdfOL+DWDw/QPuxiXlESi0qTo6d6uUSMyxekIs1AgkZOKBLh/OlZSCUi3t3ewYklyXy+v4fP9/dw25KiaGsehBNHqVkIaClLNcRIuU6bkMacggTWHKMZfnWfi3NPfRzzN5eD1wpiCZGZN9Kln8irNX6MmuFoUT+CPR0j3HBiAS9uFMhCz/3YzKDTh2LUy9yklpKXoGHEE+CbQwM8va4JfyjMjLx4kvSKGP1wKBxhfcMQTYNOXL4QkQjU9jq46p29XL8gn2d+iN2IHOqx02/38fymFn4xV9Cbf1XTy4OnVvCHNXW0jJrgKKRinjyrmhv+shd/KEIoHI7+fa/Nw4oKM0qpmFSDkrxELd/V9lNq1nPTwkKMahnf1cWehl3+EMMuP/s6rYhF8GWNoA0/ZUIar108hX67F71Kxs62EXI9/jFt5j0dVnzBMEvLkhjxBHH6QszOj8PhC9Fj8yGTBtEpxPiCEWr7nGSYVCTrlby2tY1XN7Xy0GkVePwhfMEwh/sc/OItwTTouvn59Nt9DDi8TM4yMTHTSKZJicUZ5JFv6tk5KtPa22Hlunf38NiZVfzqk4Ncu0AIPuoa8cQUUYCD3XZOqkrlrMnptFncPPV9I75gmJsWFoyJrBWLhGTBpiEnpakG0oxKrpmXh1gsonvEw5c1PYgQkWJQMjMvPiqNu/HEPOI1cgYdPsGaF6FFbVDK+KklNuMAYMDho9vmidHpb22xsLA0iWfWNTKvJHnM3yRo5ZSZdTy/oYXaHjuFiRqaBt3s67TSPORicpaJdy6fSl2vA4NKRn6ihl772JOxQipGKZNQmmrkp+Zh1hzoE2Szo+vDa1vauG9VKcsqzGTEqTn1+Z9i/j4YjtAx7OaF8yeypclCvFbOtJw4JmfHMb84lig8KSuOB0+t4O5PDzLiDqBXSblvdTnlKf+aNXg8lKTouP7EAk6ZkIbLFyIrXkOl+X+Gsf9zYf8XIS1O+y+foxyLrAQdWQk6GvpsVKUb2H9MMINSJiY7Qc2WpkFCoQhpJjV5SUfnTJOy4njo1Eru/vQgwy4/BpWMe1eVkayVYfWG0MilPHxaBWKRiDaLi2k58XxZ08NvTyrFqBI0tCUpWhI0clZUpDAzPx5fMMwbP7VR023jo6ums7AkKUpcOjLD77N5+L5uAJlEzNyiRE6qTI3KZo7g5AlpqBUSxMDkLBOz8hN46Os6UvRKFpelcMWbR9v/7+/sZGWlOTrfvHhGNhsa+llUksIHu7tYXz+ISASnVKdx4fQs6o/JJH99SxsvnDeRpkEnMomYYZefD3d3cs/KEna0jlCUrKO+X5ivfry3m+WVZgqTtdHAGZ1SRo9xAsnnf4zI0oxfmcDnw+k8+FYbSqmYWxbHOqYd+Ryko+z/cDjChSdkYdLISTcqOdBjZ1OjhTaLi7WH+kkzqbhzWTGvbG7F5hFsQY9HIBTmQJeNiZlHmec2T4CkceQ1U7PjUMrFTM+NZ8QVQCQSoiiHnH6GnH5mFyTQZ/PSOODklc2tXD0vj+fXtyAVC92bMyalIxELeuh0k5pEnZLfjFr47u20sq5ugNcvmYJaJhnjLa+QSvAFw/SMmgMtK0/hl+/t4ZKZeXyyt4tFpQLBbrwNKoA/GMJs1JBijDDk8NI+7KFj2M2A3Uc4IrSj5VLBJ//j3V1UZxhZXJLMh7u6uOn9/dy0qJAnjuFTCNdOB0+eVU19v5NgWLDB3d9tRyoWR4v6Ebj8IWyeIMMuPyKgfdhNmnFswZCKRVSmGVBIxby3oyN6na6vH+T86Vm8dYw74iUzs/EFQ0QiERr6bDT0O3l7Wzt2b5D8JC2/WlaCRikhN17JzYsLUW9o4a5lheztsHPey9tx+UPolVL+cGoFs/Li8fpDBMMR3toa20E6Y1JGzIb0CBr6HFwxN5cPdnXH+O+LRXDDiQX8/ss6em1eRtx+2oY93PtFLTWjHIJ3t3dw3tRMzpicRnWmsOgpe2ysrEghM15orUslYpL1CjKMcmo6rSikYmQSccymv3nQidMfImRzI5eIYhIOj0CrkLK03MzMvDhAjO4/0KyvqEwl1ahiyOEjQStnQpYQUds2NIw3GCY3UcOkrH/dIq1WyKjOMFH9H/Cb/lX4ubD/H4PZoObuFSU8/WMzmxsHyU/ScvuSYgKBEBe+LkRFzsiL5+ZFhUzOPnpRL68wk2pQMuj0Ea9RUJWuZ1+Xjfu+rGVfp3ADq2SS0bZfhN+tLKXf4SUUiZA/2lrqGnbz/IbmqEvYEby9tYNrF+RzcnUaNk+AdJOKcDjC5W/tjp4639vRyRuXTeHxM6t4fUsbwVFSWapRyVc1fUSI8Nc93cgkYq6dn8f03HgO9djHjBC+PtgXDenoHvGQHa+lttcR9cOPROCve7uZkGmMWusY1TJ+vaKEn5qGMGlklJp1+IIqVHIJt35Yg90TZGWVmRUVKQRGX6/DG+DOpcVYR7sM6SYVvTY3svh8ukVmegcF7Wp+kpYdrcOsrx8QeBctRz+bc6ZmopCKmJRl4rHvGgiEwjx33kR+ahlmW4uFVKOKb0YX2MN9Dv6wpo7rTyzgie8bOG1iGt/Wxp6Gp+XEsfZQ3xgSY5xGxtVzc/nzplZC4Qj5SVounJHNoMPHjPx4WgacuPwhTqpMRS2XcO60TLa1CFr20yel8+GuTkpSBBLVixubObnaTJwmNu/93KmZVKYboklfggrEw1Xz8qKhLCAQu4KhMDPz43llUyu/WVFCZZqBO5eVYnUHuHpePvd9WUvXiGDJOzXbxI62o4V1SpYJk0bOX3Z1opKJKUrWMWD38ermtujGSyYRce+qMp75QehwbGwcYk5BAr9aLpDAxkv/unBGNte+tzc6ypFJRLxw/iTkUvG4Dojq0Tlp54iHz/f3MDMvPmbzCvCLublkmhR4g8SckHttXlZUmLl1cRHeYAiFVMzO1mGhAEQEyeddnxyInuibBpx8vKeLx86oRKtSMkmv4aaFYrpGvPz60wPRObzdG+Sujw/w5qVTqOtz0mdzc++qMt7c2obLF+K0SWnMyIujz+6NytqOICNejUIq4cf6AeYXJXHLokJMox2slze3Rh0SJ2SY2Ndpixb1I3h/VyfFZh1isZiPdndR12Pn+oUFXP32nuhI4dQJaRQl6djXMUyyUc2vV5SQolfwwJo69nXaWFKajNMX5L4vG6jvc3D1vLyY3IOp2SZyRl38dCrBP6J9yEGf3Y9cIqY60xgT8QrE+Hnsbhvm/jV1UQOneI2cp8+dEGO5/H8FPxf2/2PQqWQUJuv5zfJinIEClFIxPTYXF7y2N/o7PzVbKEvtozpdj1QqJRyOIBaLqD7O1Ka+zxEt6iAwhp/f0MxZk9I4KJPQMugSogx9ISozTEglEWQS8RgilEImoaHPQapBxQ3v76MsVU+CNraV7A+F+XJfLw+cWsHMvDj8oQg2t5/n1reQGa/mhVGJiy8Y5uFvhLm6XDp29q9TSkk1KBGLRLy4sZnbFhfFSAGPYFurheXlZn53UilFKTp6bV6m5cbTMCCc0gY8fn7z2aHo7/fbvSTrlLy8uYVAKEJJio7VE9J46OvDPHBKOQ5vkKx4Dc+tb46edgAun53D4GiO9b2rSpmZH4/F6Sc/SYs/GEarlJColXP+9CzmFCTQNeLmm4N9rKw0jwnGCYYjBMNhYdNi9fDMORN4d0cHKXolC0uT6bd7OXtKJjKpiLOmZERDYzQyMadPEHLGHd4AJo0ci9NHdrwaX7+TjDgNIhHEaeTs77RGPbr3dVrZ2DjEb08qxaSR4wmEWFWVyqz8BC55PZZh/t7ODm48sSAmwrNhwMW07DiePmcCh3pspBhUpOgV9Nm8JGrl/OmcCUJa2ebWKFFRKhZx+9JitjYPUZaqJztezfTceDY2DjEhw8icwkQufm0nvqDAFF9dbWZSdly0qIMwi357WwcLSpKiG6ONjUOcVGXmqbMnYFLLeOmYa9SklmH3BGP4GYFQhHe2tfOr5cVcNTc3Rr42My8ely+ISCTEFFvdAb460Me5UzO5/+Ry7N4AJSk6zAYFaXE6/MEQC0uSo5LQydkm3tnREWNYBIKxy2NrBfe8Y9v0OoWUfoePPruPSBgQi+ixetnfZRvjhujwBRl0+vlwVyfVGUbkUh/XLchHjAiZVES6UcncwkR2tQ1Hu3qLy5Jx+4Ic6hX+/8f6AX6sH+Cty6ayrq4/KrHLiFOxstKMLxDmplFXRpVMwoe7u2gdcjHiEjLL39zazmsXT+bBNYdjeAJ/3dvN9Nx4pFIJt3ywH08gRJxGzkOnVrC1eZCVlanc8P6+6Ofy4a4u7lxWhEYuQy2XkJeoiTn97m4b5pUtrXxzsA+NXMo18/NYVJJEfvL4M+yabluMK6PF5eeNn9rIS1CRbPjfmdL238XPhf3/IAxqGQb10RbVixtaxvzOpsYhVlaa2dU+wvaWYcpS9czIT2DKMaf4IwzSFL2SlVVmVDIJLYNOUk1qznt5e7SNNj0njlsWF6KUillVlUpuohajWkZNl40fDw8wuyABmVTM2tr+qNf18ScgAHdAWASSDUJb0+0PIZeKYww1oq+/YZCzpmRQkKyl8Zj4zEtnZuMLhSlLUvPAyRUEgmFKUvRjMqNLzXo+2dPF1NwEznlpO6dNTCM/ScuXNb1sbx1hRUVs1OUJuQkxLnV1fQ6Smy1MyTYx6PDx+y9qefCUipiiDvDW1naumZ/HE9810mZxU5luYGZuPIMuP+FIhA6LmzUH+hCLRSwrT0Ytl44WmgBxavmY07dEJKLErMOkVvDK5hYePb2SAz0Orn13T7QYXDErB51Kxoe7O9HIpVw+K4dis45zX94e81jPnzcRnUIqMOj9IcxGFbd9WBPzOzZPgEAozI5WC0kaKedPzaCmxz6GYBWJEOPKl6hT4A+G6RzxUJGuY0N9P019DgZdfmq6hfS8GxbkUZxqiBZ1EB7j1c2t3LiwIJr2laRT8NuTSslP0vC7z+vwBcOUpepZVZUqRIQaxs4tu6xuTqoy8+2hPiIRuP/kMiRiMf12LxqFhBcvmMTDX9fTNODkpMpUXL5YfodGLmFyThwNA05mFsSTl6ilfdhFolZJglbOE9838KvlJXxwjNPdrvZhpubE0TXiZn+nDYU0jqYBG+KIiJMnpGFx+tnaYsHq9pOXqBlT2DUKKX12b9SmVS2XcNXcPOzeAG5fCI8/hNMfQioR8em+HvIStWOCaFQyCSl6BedNy+TLA73YPDKmZCfgDYSwOAVnys1Ng6yqMnNSVSoef4i9HSNMyorjqXVCZ0Usgktn5mBQSrlnRQmXzswmGI5gNij5oqaX72r7oyMosQjuWl7CjpZhnL4gh3rtTMw04vKHONwXq0AAgbty7XtH89SHXX5+/elBXrtoMt02T8xnUt/v4KGv6/nT2dWsqk6LeZxBu4tP9/VER3cOX5CHv6knM04zbmEPhyNjPm8Qon9tnhDJ/3x7kX8rfi7s/w+gxKznk32xueuXzszilc1tUTertbX9fHuoj0dOr6Q8zQgIkrWJmUZm5ifw+pY2HL4gs/Lj6RrxxCwm21oFvXy/zcNzx2wizpuWycsXTcbpC1CcpGVTg0Dm2dth5eZFhWPkgMvKzTH/n2VUkZOgxhcMjynMmfFqIpEI955URl2fg16rh7wkLSl6BQlqOe02P0+ua2TE6ee2pUX81DJE56gNa6lZz8z8eGbmJRCORLhyVjaugNAJAIEYtr5+kF/MEU5qIhG4/WPJh9taLVw6M4dAKIIvGKbVMnbh8AXDpBtVXDwji0Ulyby3o52cRO2YrHUQWL5mg5IzJmfw2Np6Lp+dG0PaK0vVkxWvpihZz+Pf1XPlnFxGPAEe/uZoSI9eJUUmFcdo8m/9qIYXzpvIkrIkvj10tFXcb/NSkqqndzT2FoRY1+NH295AmMJkPR3DLvZ22UgzqkjUxUqcErRypmSbWFKWTFmqjrJUI82DTlRyMRKRCI1cFmUzA9yyuJCSFB3tw2O9zfvs3mg4DwgbzFs+3M97V0yn1yb8fFVVajR9beE4hK+lZSm0Drq4Z0UpSpmYL/f38NOoWY9ELOLBUyq4dn4eNV02Vlen0NDv4t1R+aJELOLWJUU880NTdMZ74fQsqjMMvLWtg9kFCdy5rISb3t/LgEP491OqU5lblMRNH+yLfhdGtYzHz6hid/sIswoS0CulPH/+REKhCC5/kG2jxRAgL1FDOBLBGwizp32EVVWp5CVqeG1LKyOjm8t3dwg8gCSdDJvbT7/dw6+Wl/CHNXUEQhHkEjGPn1VJXZ+TOz6uoShZx/TceG77qAaL08fpk9LJT9IiFYlQK2TU9topSNRy4QnZdI64KUs1MLcwCYlYhNXlIxiOsL5hEIsrMOrl0B/dyJal6mkZdOEJhPjLjg6um59PvE7BS5tbuWdFCbtah5mWEzt6AnD6g2NCYwYdPgYcPtRy6RjbZjia234s+h0Bvq8bK1M81G1jRaV5zM/FYhGV6WOr97yiJF7f0kpxqoHJmSZK0/5vVPifC/v/A5iUZaI6wxBtq6ebVKSZ1HxREyuLq+110Dbkjhb23AQNF52QHWO9urnJgkYhjZmngpBF3XlcAMV7OzpYVZ2KQirG6glyxqRU3tvRQVW6gZwEDS+cPxGvP8Qn+7o5a0omcwpjM5OVShmzCxIxG9VsbhyKymdS9Apm5CVg1iuw+wKckGtCJomj1+anz+5FKhbjD4ajG4d3t7XzmxWltA+7UUjFlJr1rKnp481t7cjEYq6en0f7cTNHtz+EeNRrPBJh3FCQijSDQGz6RDhZhsIRdMfJfErMOjY0DJGglfP4d/Xsarfy1NlV3LKoEKVMwjcHe9ndYWVqtjA7ztDLUUrFPHxaJf0OL8+eO5E+mwedUobN4+emD/YTiQjPLRGLaR50xUj1ZuQljLvg7WgbZlVlarSw37IwH6VcwvmvbOei6dk4EtTsbBvmwhOyeWHD0dGF2aAkEArzi7eFeXphkpaHTivnD6dU8OT3DRzqsVNq1nPH0iKyTUqunJ1Dr83HVW/vjm7+KtL0/H51OcNuP9tbh7l7RQkSsYhfvL2HmxYWjmGIT8o0km5Ucf2J+UhEIpoHXXy+vweL08f84iTW1w/G6NG/OtDLrYuLeGNrG8MuP0vLUjCq5fx5YwtSsSjKWziCUDjCU+saefKsKl7Z3MrCkiTKUnU8cnoFL25oYWKmic/29cQQt97c1k6Svoi9nVb2dlrRb23jwVMqufmDfVwxJ5dQMMzLm1ti3ofVHeBQj53vD/cjFsOM/Hg0cglOXwilTMzT51TTNODC7ReUG5e/uQuA9Q2DLChORC2XRov6Eby4oZlfLy/hkpk5vLm1nW0tbVwzLx+xSGjxmw0qbh+NMl5dnRqTsvbG1nYUUjHhSIS7jpGnzcyP59ZFhdxzzOjprUuncsfHB2gcJZiKRHDvSWVoFFJOnZhO86CTeUVJDDp8rDnQS1GyDo1cwtuXTcXjDxGvlZMep8bi8tHQ70QhFXP13Dz0KtmY79uolhGnkaORi7lpYQGhiHDN6JQyxCJINwodGbvbw+F+N71WLzmJarLj1dHZf/R6HScA6giKk7VcNiuHN7e2EQhFmJWfwInFSVz82k6gi6fOrv65sP+M//9gUnYcD5xcQZvFRTAcISdeg80biLm55hUlMinLxKDTx5c1PWTFq6lIM45JnALY2DDEudMyYwp7hknFp8fYkIJgdHO418G9XxwiQavgtiVFfH7tDH6oH+RXnxxkak4cOqWEq+fmMf1vEFjaLW68/iAvXTSJlkEXTq+QhQ6wtm4gmvfcPuzixQ2tnDIhjY5hN2VmPadPTOOjPd2sqx9kU5OF6blx/OGUUr4+OMifRy0wvYR55Jt6bl9SxLq6gdh2slbBQ6dWEAHi1DIWlyZHNdlGtYyr5+Zx+Zu7om3pd7Z38PDpFby4voXaPjvTcuKZVZDAK5taqUo3sLQ8hfOmZfHj4UE+39+DTCLmrmXF3HdyOSIRZBrVKBVSKjKUVIy+hppOC1nxStqG3GQnGLnxxALCEUEH/+yPTUzMNLG8PIUvj7QkvYFx061MGjnrR6VjV8/JZUJWHJe9sYt7V5URCEXY0mwhzagiM07NbUsKOTzKiZiYZeK6d4/myDcMOPn6YD8nVZp5+LRyHN4QRpWMYrMep9fPpuZh3tneGdPROdBtp2XQxa2LC+myeomEw7y9vZNQOMIne7u5dXERL29qYcQdoDJNz82Li7j2nd1YR+WXU7JNXD47B/2oAmNhSRLOY+Sbh3rsdI14uG5+HjqljLe3t0fjS4PhCLW99jEbrh6bh2A4wllTMgB4YWMbCrGYZ86ZQCgcYdWzW8Z8ht7g0VaG3ROkz+bhpoUFyKVC8p5zHEmp2x8kL1HLnze2cv2J+bRZ3DHcjWXlKWTHa5BKRKyoMPPF6By+psvGhHHY1A5fkEAkgsXlZ32DQAh9ap0w/59bmMCvV5QgFouQS8Tjykc/3N3FiorYE+2WJgvnTfMhl4gJRcIoJBJ6RxURRxCJQK/Nw7s7OjjcJ/AZ1tcPsqLCzNVzc0EU4a0dHby6uVUw5NEruW1JIWWpBpaUpaBTSglHIny6t5ubR1UJ4YgggfvdSWWUpxmwu3zEaxUk6RR8vr+Xz/f3oJJJuGpuLotKk6jpsnPPZwfxBsIoZWKeOWci+7tsUfVEUYqW8lQ9/kCIliEnrUNu5FIxWfEq8pP0pJs0nDnBzNLyZFy+EM0DztGiLuDHwwMsL0v6p+W3/zvxc2H/fwRlaQbKjtmNtg06mV+UyI/1g0zMNJGoVcSwly88IQtRhHGLRH6SFtWoBaRJLePqeXlkx2vGzM3zE7Uc7LERjgjt1Ns/ruGlCyazs22Ei2dkseZAH0qZmMP9TjQKCVZ3kIJEFSkmQYo34vKxq32EIaefT/f1RmNOnztvIr94e3cMg/n+k8s5Y3J6VOstl4j53apStrUO0zXiwR8Ko1fJ8AYi48p96vrs5CRoootZsl4RPUn87vNaanvtzC9K4qZFhUQiEaZkx6GVSzCoZNFTlU4ppX3IzY2LCtnWYqGh30GSTsFV84RUNZNagU4p5ZtDfehVMn65IJ8tzRa+r+vnvGlZ7GobQSGTUJSsJdOowhsK86tPaznYbefymZnMLUqJIXHBqBb+kilIJGK+rOmle8TDrYuL2NNhjbY8jWoZU7PjWFySyKmTMrC5A4TC8ORZVRzssfPsMRGz6SYVS/8/9t46TK7C3v9/nXG33Z11d89m4wlJiOMOwV1KKVKhUNoCpUjxFmmBYkWKuwRIgBACcd+su/vsuJ/fH2czyWTTW25/pbe93/t5Hp6Hnc3OnDlz5nzsLeUpzMy2IQjw/u7eKToEm9vHWFaajFmrwBcM4A1GmPBJXOG2EQ89jqlSmr0OL3lJOnZ2jbOgIBGX/4BCoJtnvpYKsqJkI5lWLY9+3hxL6iCJGa2emUmiTsG8fBsyQWDQGeCdXX2xa84dCJNs0vDE+lbq+l1xr61VyomI8e9hUWESJo2cE6pTOfupzWQn6LhheRFr6gaozbYyPcsasxg9EJrD5KDVSjkV6SZe3tLNhuZhzp6VFaeoJnXRNqZlWQiHI6RZtPzyMKvhj/cNcN9pVWhVcmqzrBxTmYo7EJb07lXymArbgVg9M5P7P2ngmIq0Ked4d88EgghnzchkW8fYFIU+kCYwh1PIAAwqOfeeXok7ECbTqmPiCCpzWpUiltQPxEf7+jlnViY7uyfi7HUHnH5e3NTFNUsK2Ns7gUwQCISjWLQqKtJMvHDpbIZdfrJsWgrsOhRyGa1jXr5qHCIzQR/zKnAHwtz/aROZNh23vndQic8fivLLd/byzEUzaRxwxfwOmgbdhKIiN7y6m97Jdc7CwkRuWFZITbaN3gkv4+4Ab+7om8IqkWinU972f2T8X2L/fzRykgxcc3QBFelmbHpVnEMSwIubOpmTa6M42cjsXBub26VRploh4+rF+QRCIf56+WxAShyFdiMPnTmNP61vY0+vg/n5iVRnmLn3kB2xKEpf+OnZ1jge8e6eCZ66oJYrXtjOL44pZWU5jHtDmLUKbHolCQYVn9RJHWm2Tcf+vokpCOZAKBqjN8EBCc79XLUojzd39HL5UXlYdUr6J3xkJeim0H1yEvQsLExiQ7M0NrfqVFh0ClqG3DHDigNoYYAHz6hCZdNxwdxsQEAQJBGgBz5r4qkLavlgdx8/OLqA296viwn/6FVyfrqymIvn5aJRyXng0ya8wQi/Pr6M61/dFaPuJRpU3HVKJclGNWfPyOCW3v38eWMXZ87MptBuiOuksmw6tCo51y8t5JrFechlklnG0xfOYE+PA51KQXWGBZNGRv2Ah/ZRD1vax3D7w/xoSUHczRigZ9yHQaNAqRCIRqE6w8oHe+IBgdUZFjyBMANOP+vqh/hobz9apZz7zqhiR+c4S4qTeWdX/PRGp1IwMBHArFXSMeLhmMrU2DRo1BPkmY0d/PHc6fjDURoHp2qJ9034yUvU4wpEePKrNkbcAe4+tZLWYTcOb0gqhhJ0nDUzK8anBwlRrlbIuOOkCu5Z08CwK8DCwkSuWVKAQiZjzZ5eIqLIDcuKuP6VXYSjItctLeCYyhRp1z/uQy4TuGR+Lt8eIvhybGUKmRYt6/YPUJkuAQDbRzxcvTifT+oGseqUXLkwj7d39rCufphzZ2dh0SqncPoBfOEIFz6zFaNGwdWL8+kZ91KUbKKx38n9Z1Tz6tYuRt1BTp2eTlQU2d/v4uL56inPMyvHRhSR0jQjj5xdw5gnSF6iPka1k8sEblhexONfxOM7LpybzV++7WTtpEugSi7jD2dPw6pTMO49WGBZdFOLfFGUJLT7HFOVG3d2O9Cp5BjUCj7Y00+qWZKFnl+QRNfQBDIBNrWN8+n+IaZnWTFrFRxXnRaHKzkQO7rGWVKcFJtMgWQCNTDh59ZDPu8NPz2K+9e2xpI6SIyI5WXJTMuyUpZqxhuIcPbsLL5sGo595yw6JYuKklCr//O7dfi/xP7/dNTm2KjNsfF5w9SdbFSUbrjHVqVx+4llNAy4cPnDJOhV/PHLFvonAszKtXL/qVVoJ7v6eQWJpFskq1WVXMaVL24nHBWpzjCTbtWys8tBfpKeN7ZPdaT6qmmEFaXJyGQCN721l2/bxji2IplL5ucx6gly6YIcXt/eQ5JRzbg3xJw8G55AJGa04Z1UEzs0AuEoFelm8pMM/Pi13bEx+7MXzeTz+qHYaDbJqGZBQSJ7uh1UZZpZs6eP61eUsLltFINGNYW+BxKtcEeXg1BE5PEvD94oS1OMNA+6ue3Ecsn05ZDO0xOMsLPLQW22lTFPkHSLlksW5LK2fjDu2Efc0i5aLhM4tSaVz244inBUxOMPctuJZfxpfRtb2sdYPTOT7AQ9N7y6G0GQXMS6Rj1YdCp6HD7W7h8kHBW5aH4Obl+YHd3jtI94mF+QSKHdwIg7MAXIBFICSDNrqetzkmbRsrTUzrpJfvaMbCtmrRKLVskXjcMx8KUrEObW9+q4eF4uE74QK8tT+Gz/AFadih8tLcCoVnLdK7tihdc5szK546Ry3trRi1wmsKoihVSzmlBUZF5+QpxbIIBNp2LUG+JHL++MdenXv7qLU6enM+YO8MKmTs6ZncWoO8DNx5TQOOjCoFYwJy+Bm97cgyAI3LCskBSzhu2d47Ex9vKKZNpH3by1syd2fcgEgXvXNHLv6VV0jHpI0KsYcgaYn5/I3LwEMm060iwaOoe9PPl1J69dMYcV5cl8vG8Ak1bBebOzWFaazLbOsVhR9Oev26nOtFCaYqT+kK5XrZAx4pamHt5ghFvf28+jZ9dQnKyjJsuMSaMkL0HHN22jvLqlm1WVKfzu1CoyrFrOmZXFq9uklUZFmonLFuQy5pHYFFk2LTa9ijtOrqBnzIsvFKHAbqAkWctNx5Ty3q4+vm0bpSrDzIwcG89/e5AOG4xIQNLHz5WKw/YRD0q5jKoM8xTp42MqUtAq5Zg0U1NJZZqZQDjCnze0cdbMTKoyzNgNUkEy5I1wzcs7Y9MDQYBHz65h3BMgJ1FPx2EGKhkWHZtb45X01AoZdmN8gaNUKmKTvUOjYcBFMBRBrVIwMzcBr9fHny+cQeOAC7lMoDTFSGXa/479OvxfYv//HR3DLnocfib8IdItWirSzEfUVv93jiSDiiSDOo5alWbWkGmTaGclqWbGPCHe2dXKDxYVcFJNOk5fmOoMM95wEC0Hq9zsRGmMHo2K3LiqhD6Hj2/bRmkccLGqIoUEgwrTEcb7OpWc0jQjL23qpG3Ew9LiJBYXJ3Px81tx+qSC4rqlhfSMe6lIM9M27CbdquXSBbncu6aBvCQ9OpU8Tq1Mq5SjlAn8fNK17kD88p19PHbudNpHPMgECf1/27t11A9KI70Hz6zm1nfr6HV4ufPkCi6ZH29acVxlKh5/GK1SEvS4cWUx/RN+LDolVRlmfv7GHl66bBY9O6aOpIddAQxqOTJBxYryFD6vH6Tf4ceqU3LO7GwEQeqYEOHd3b0sKEjkzg/rcQfCnD0rk4WFifxoSQEuf4hxb4ifHkJPu/vjBm5cWcyDnzVx7pxsbAZJYKQ81cTeXicZVh1LS5MZnPCjUsjY3+fg/LlZREUBk0bB/n4nu7rGmZ5pZUvHKBqlnHd29VKRZqYy3YwoSnKlNZNCIPv74pkKg84AGqWMDKsJpVzg1JpaUsxqnP4Qo+4QNr2SgUmp0Ze3dPOzlcWYtEoiUZHWITdV6Qaah72cXpvBkNPPlo5xCXS1OJ+P9w1wXFUqvlAEq07JCdVpmLRKdnWNU51p5cumEb5oGGJefgJ3f9xAhlWLLxhBEAQSDCraR7zcNjmVOmlaGm3DHhoGnJg1ChYWJbG2fog7TqpAo5ShkgtcuTCPtmE3MkHgtW09ZFi1nDItnUc+b2FP7wQmjYJfn1DGJ9ctYNwb5ILZ2VSmmQlHRZoGXfzw5Z3cclxp3Pl5akMbNx1TwqOft7C1c5xsm46frSrmN4dNy75tGyXdoiEYCTMwEWBgIoBVp+K3p1Tw9NdtPLuxg3n5CVyxMHfys5DcDa94YRurZ2Xh8oaozbXx49d2xz3v+XOyqUwrYHaegVSzitWzMjBpVLFO/dDoGPVIRjIfN7CgIIEL5mbjDUS4+ZgSNjQP0zjoZnaujYWFiXzdPExekpGzZmby2rZuRFESf7lxVTHftA5zWm0mLn+YaFSaTvx5QxsufzhuJSCK8PiXrdx5cjmZNj1b28di043cRD01WWYSDQXcMmkTrFXKufWEMtbWHSwAlXIBnVIy4Ooei28eSlNNeEMh1Cop5el0Wo4q1HJUYTxg939L/JeJXRAEE3AzkAF8LIriy4f87nFRFK/+no/v3zr2903w7q4+ntrQRlSU9rL3n17NUUX/+MUy4fHSNxFCBDIsKky6719buDLDyu9XT+PeTxrY3TNBTaaFy47KI8eqpWXQRZJBxbyCRGQyuOHVXXGa578/axon1ejZ1TVO67AHfyhCvl3PnLxEMiwabn5rbwzE0zrsYdQd4KK52WxsGYl1izqVnAWFiWxpH4uNDS9ekMulz2+LdbKjniCPfN7Cg2dUc9fHDXgDYfraxli7f5A/nV9LllnNvadVcfNbe3EFwhjVCn6ysghvKDJFw7vX4WNn9zhvbO/hkvm5vLK1m/pJgZMDGuIHrCUlrXgTvzyuNLZ/BPjJG3u459QKNrWNsaltDItOyanTUkk2aXjtqjkU2E2sqkjhk7r4aciCwkSKkg04/WFue38/erWcC+bkkGBQ8cCnTTH601kzMymyG9jQPELjoIucBB2RqEhdn4tINIpMLuPjPfEURpCcwkpSjbyxrZuzZ2ehUcr401eSxjfAZ/sHObYyRUq809NpHfZy75pGRj1BZmRbuff0at7d3UtFupnXtnZz3pxsdvU4yLJKKORvWke56sXt6Cb58RqlnOwEHaWpZlLMGkQxSr/Dz7EVKbSNernihe0MOgMk6FX86vgyHvy0ka5J9oQ/FGF90zCLi5M4oTqVvb0u/vx1Oy5/iOuWFXLunGyiosi3LaMMufxEoyLFyUZOnJbGM1+3M+qRXPtKUiRjpYp0M4OT1+YB+9pdXWM8cEY165tG2N3toCLDzMCEPzbpmfCHmZNrpSTVzL1rGmKiLRlWLTeuLObaSZfEPT0TfN08woXzcihOMZJu1RIMR+l3BgiGIwy5gjz1dVvchKZl0I1Ze9AD4czaDOr6Jji+Oo2zZ2cx4g4w7gly5cJc7viwAaVc4OerSpiRbUUmwL4uJ2/u6I2tglRyGTcfW8KG5lG+aBzG7Q+zqjKFOz44qM72p/Vt3LSqmG0dU7vWDc3DXDQ3C7NeQ1aCdM7ahtxkJ0yVw11YmBQDW37dMspptRkUJukwahWcUJXKWSoF7kCIqAiVGRZ++0E9P15ZxKKiJILhKFk2LW9v7+aFLVKCnZufwOULsnnu225e2twVAy0eGhO+EEqFDJBWSW0jHlQKGQVJeqZl2ahOD5Fh1THk8mM3qilJ0ZOdoCPRpCUQjlCTZSUaFTi9NoO6Pid1fU4EAU6qTqM01YhJ+68xgPl3iL/XsT8LNANvApcIgnAacI4oigFgzvd9cP/u0TXmjVMHG3QGuPeTBuwmNcUp/30Hn/r+CXZ0Ofj92mYMagWn1aZzVEEiVf8CreF5BYk8aKrG4QuhlAsEIiJ/3NDO1vYxarOtXLogl709zilGJg+tbSI7QceNb+6JiVaoFTKeOL+WYWdgCjL3/T39kqra+bVs6xhDo5AzPduKXiljRVkyG5tHWFCUSOuwZ8poPTdBz4QvRKHdgFGjJC9JzxPrW9nd7SAQMmLTKfnLJTNpH/WSoFNhN6kZ9wbJT9TTeog4hUyAdLOWu0+pZGe3I+bxfOaMDJaXJTPmDvLcRTNY1zDEs990kGJSc8mCXKZnWbjxjb0xi9UEvZoMq5aecR+PnV3DB3v7ufT5beQl6rl6cT61mWZuPb6Mx9e3Ep0cic/Ls1GZYeXdXb1EoiJOXxiLVkJyH6rS9erWbu4/o4qH1zaTZtZw6vQMfr+umUhURBDg5mNKSD6CU5VNr6J5yIVSISMcEdFo5bGkfiA+3jfAA2dUs6/Xxe0f7I+xI7Z1jvPkV21cMDebJze00evw0TToIhSOEoxE2do5zouTTmsTvhAPfNbEw2dV88i6Fl7e0o1MgNNrMxn1BLCbNDHvAZAKs5ve2sNdJ1fy49elTnJapoVHz67BGwpLI2S9KkZfenN7L5cuyEUApmVJinMqhcD5c7P45TsHd6pft4ygkstYUpzEWTMziUZF3MEI9f1OFhYmcvnCPO7/tJGfrShmU9soT29oj43ybXoViCJapYwvmkbj/BV6xn183jBMfpIhVuQ5/WGK7JL/+YQvRLNcFkPfmzQKblheFOOUA3SPe7FOmhvpVHKyE/Xcu6YxVlTMy0+gIs3EgsJEajLN3HJcKXt7naxtGMKmU1FgN8TZ+QYjUd7a0cuSEjuf7h9Er1bwzs6pxd2e3ok4oakDUZluxjw5Mt/VNU7biAe5TKDErueOk8q579NGnL4wM7OtXHZUDp83DMeMkZy+EC9v6WF5eQo9Dj+fNwyRYtKwuDgJm07JD48u4IFPmnD4Qpw3O4vcRB3HTUunIMWMRackL1HHsDvMC5s68QYjJBnUyATihI7OmpHJU+tbeWf3AHajmsfPqZHcHydDqVQyM/fg+9rWMcbGllF294wzJ1cy27IYNGSHI9x3ehXdYz6UcoFUswabQY1cFi83+785/l5izxdF8bTJ/39HEIRbgM8FQTjxez6u/4g4nEMJErXHE5hKe/ku0THi5Yn1bVx2lDQG7Hf46XX4ybG4MRkNf/8J/kbs7Bqnrs/Jvt4JytJMVKSZmH4E84O8SUvZ+v4Jfvb6bhomu9i2EQ8ahYxE41TAjssfZn+/M5bUQep6H/28hZuPmWp8opLLiIrQP+bFqlXx/KZ28u16tna42dY5zryCBAqSDLGbzoGuXqOUsbI8mRsOGS9qlXKuWVJAIBTBGwwTjojI5QLFyQa2dIzz6Jct5CcZuH1yl5udqAdRpCjZyJs7ujm+Ko0+h480s4YZWVZSTNqY/rlMgNtPLOf82Zm8sLmb+n4nKSZNjPJUYDcQjYo8eX4tiPDAZ02smxxpDrsC7Oud4NmLZ7KwKIF5BQmAyLArSK/Dj1oxQapZE0PyOvwhWoeOIG4TiuIPRTijNpM/ftkaOxeiCPd83MCfL5jBh3sGYolKr5JTYDfwxvYebjqmBLtRjVI+9WYmipCoV9E24uEwsDib28c4b04Wxckmsm16chL1/PrdOk6sTjuiZ/2+PifXLC1gfdMwH+0Z4LVt3fx0RTHuQHjKpMQfiiKTCdj0Si4/Kg+dSobdoGZb1xgVqSZah6XP/NfHlWI3aVjfNMwrhyi7XTw/h8r0qQXzl01DvH7lXO77RHJhu25pAXedXI5GKeP0JzYz5gmytXOMKxfl8at36uh1+Mi0ablkfi4pJjUapYKOI6iSNQw4yU3UxRK7TiWX7Gt7nawsT4ljkTj9YV7f1sOy0uSY+uCioiRm5tgIRaIUJRv4vHE4ltRBknauzrAQicJtJ5Tz8Lpmvpj0NAC4flkhVyzMi+Oid415mZZpAWDcEyQvSR/3nAB2owYZEk1w62TnnmxSc+K0NF7d0cuMbBvXvLwztnortBt4+KxqXr50Fp5glPVNQ1z4zFYsOhVXLMzjpU2dJJs0TM+ysLl9PE6//e1dvTx6dg25NhW/PbmCpkEX3WM++hx+zBoFF87LOXit9DjQKKV12WvbuvnFsaW8v7sPhy/EmbUZTM+28MAkqHbIFaBpyB2X2A+NxgEnv/3woI/FhuZRarMt3H1KJUUpJpItUJJiIiqK/3Gr0X9G/L3ErhYEQSaKYhRAFMU7BUHoBb4C/vFM878kUo7gmlWWajqi89bfi1A4wrdto1w4L5u7PmqI3cRf397D0xfOYME/mNhbBp08+VVbnNTpkhI7P18ppzh1KlhkW8cY/RO+WFI/EB/s7ee3J1dOUYY6b052HAL1QHSOeTFqlJSkGOMoMufNycJuUkse9S9s5xfHlvDy5i6+nRQQ2dE5ziXzc/msfpArF+bxp/WtREU4utgeA2odCF8ogsMbZFFhEi9v7eKjvQNkWLWsLE/m6a87AIkqFYmKIBBD4tv0Kh4+axqf1w/QPuzhzlMr0Kvk/OClgwCiqCjtrJ+/eCalaWbJ7tLh48aVxXxSN8i8/AR++W4dL1wykxFPkM8Psxf1BCO0DnsYcytIMWvZ3D6GPxRhU/sYQ84Aj5xdzT2nVXLru3U09DuZlnnQke1AJBrV3HVKJU5/aAqVMCpKgKAHzqymc1TS7E8wqNnQPMw9p1Zi0SrZ1D7KMRWpUwBPy0vtRKJiTLr00Eg1a1DKZWTZtCjlMlLNGu49rTLmMHc4qEmvUvDWjl5WlKcwLy+B297fj8sfIi9JFytcDoRMgGF3gCfPr8XpC9M97mfENcGYJ4g3LUqKWcOPjs4nIkLToCsuqYMkz/v71dOmHHOmTYfTH2ZLxxhRER78rJmZOTZ6HWHuPLmCJIOKEY9krXrt0gLSLVr8Icl8pX3UQ6pJQ6F96vfrqMIkPjhk3VGeZqJ1kpFwOJgSJMrk2bMy2dgywsXzc3lzRy/1fU7JzKhIO0VpEaBtxM3KimT6JvxxSR3g6Q3t3HVqRdxjS0rsMTW3hcVJ5CfpWVc/FJv22I1qUkxqCpKN3J5rk7QfAmGUchnXv7qLkmQj7cOeODxN85CbLxqHqcow86t362La8GOeIPd/0siT59fy3Dcd/OKYkin+BQ5viOYhN5XpRlY/tSlWKCpkAo+cXcPe7nEqJyeOOVYdVxyVxz1rGmgb8XDPxw0cV5XK5QtyeWhtE/cdUigBhCOS013XmB+1UkamVUNOotR8dI5643wsALZ3Ougc9VI0OS2VyQRk/PO69DG3l7ZhP6FolAyLhsyEf98U+Pcy0PvAEmDtgQdEUXxOEIQB4JHv88D+EyLbpuXi+Tk8901HDDBy0zElFP4DY3iFXEZluokP9w4QiYqUp5lYUmJHEKSbXJHdgP0Imth/L7rH/VP0yz9vGOLc2VlTEvvOrnF+/uYeTqyeypEd94ZIMam474wqnv+mkyGnn5Nr0tEqZaQewUDhmIoUCuxGbjuhjK2d43SPeanNtlKcbOSy57exenYWII3X2xP1KOQyvm4ZQSYIZCXoGHEHWFs/yHVLCwlFRaZlmLlnzVQajEmjpG/CG9OMXlWRwl83x1tVZiXo4rqrMU+QP6xr5pZjiplXEOKPX7Qy4g5y2vQMhpyBGFVrWWkyv1/XHOdW97OVRRjUcu7+uAGNUoZv0oxEq5RPsRnVq+QYNEp+9MrOmJztSdVpnFGbzid1Q8zMsfKXS2Yx6gkSCEe575NG2kc8qBUyrlyUR9eolz6Hj+oMM1ctyuOJrw4qm6kVMlLMGlqG3Ex4gxxdbCfDoiHLquOSv2xh1C2tQF7d2s3TF87ko7397O2dYFFxEmUpRpQKGcNOP4uLkmIIcblM4BfHlrKxZYS/bukmHBVZXJTEZUflctasTNQKOTs6HbEiIztBRzAcZUPzCBtbRvjlcWWcXpuBQaPg7R093HJsKbe9Xxcbt166II83t/eACHd/XE9UlIxFzp2dzSf7B/i8cYjLF+QdsVAESWzG4Q0xLz8h5h+gkAmcPyebd3b2UjxZRF44N4fWYQ/9Dh8FdgOeYIRtHeMsyE9AkAn4QhHqeibY2TPB/MnHpmVZOLE6jQ/29BEV4ajCRFZV2Ekyqqjvc5Jo1GA3qrDqVfhDEfKSpu6lZ+bYEEUJd/LQ2mZOqE5jQUECXzYOE4pKSmeHSyPPzk1gY/MwqUewfXUFwujVCmx6FQ5vkBOnpXFyTRrFyUbsJjWN/U4aB108eGY1Ln+IiAjJRjVmrQJ/KIxcEPjLpk62tB9U3avMsLC5fWqB0TzkpijZEEvqh55zpz9EgV2PXC4c0RlPFKF5wB03/QlHRdbWD3Le7IO7dINexfwCG/efUcXGllHSLBoWFCSSY9OQk2gADhY2Jo2CklQjP35tD/smd+Wn1Eh2y9OyrAh/K18f9vj2zjH29zkZcPopTTFRkKSn5B9Av+/rGWdN3RBPbWgjEI5ydHES1ywp+F5tX///xH+Z2EVRvPFvPL4GKPxejujfIHpH3fQ7A7gCEZJNasr+xoVQlm7hQpWCJcV2JnwhMm1aqv/BfbggCFSkm3lzRy/HVaaiU8t5fHL8urgoiRnZ1n8osYeO8EUEpuyvQbKHbB32sK1znOVlyXx2iIDDkhI7Jo2C/EQDZ83IQCYTeOHbTvb1OblqUR63HFfKY1+04PKHOa4ylZOmpbGlY4wLn92KTBCw6pS8sb2HKxfm89SFtWzvGOe5i2fyad0An9YNUphs4Pera+gc9bCufogL5mQTjoo8vK6ZHJuOJcVJnD49g3vWHBxLKuUCZWkmvjgE1SuKxO3SBAF8R+AO7+ubwBWMcPVLO2ITiCe/auPSBbkkm9QMOgOUpBq5d038lODRz1t54vxa5hck4vKHybVpEaNRfntSOV+3jrJlUhBnWqYZu1HNc990xJI6wLu7+8i3G/jD582IIpw6PZ1L5uUw7A5MyoimkqBXkWhQs6F5hLxEyTFOoZBNTjDasOiU3LiymKe+kqYZtx5fikIhY9Qb4qXNnYy6QywpsVORbiIcEdnaMcqK8mR6xn28vLmLEXcQi07J3adUMuj0c3RJEgqZjAK7nqZBFy9sOlgYfdk0THGKkTNnZOALhnjh0lm0jbgZnfRtf3KD1MFFRckBryLNzFfNwxjUKsrTTPxsZTGeYASVXMYndQM0DLgYdgdQyqVuvnvMx/bOcY4qSKR1yIPTH0Ipl2HRKTl3dhbrm4ZjQLg0s4a2EQ8Xzctmdl4C4UgUlULGc990MDcvAXcgzHmzs9ncJn0OJ9ek89LmLqKiyNmzstjTN8GrW3soTzNx8fwcvm4ZwRuK4AtFMKrlXLYgh5Nr0lAIAqkWDRExSr/DR12/k7MzLAQiEYwaBY0DLkbcAX54dD5PfdVOMBIlL1HPirJkbv+gjp+uKOaWY0v4qG6Q57/pAGBj6yg/XVFEdYY5tstfVJSIWiHjNx808/qVc6ZMOGqyLCTq1dKEwx/ik30DvLerj7X1Q3HYlUfPruGb1lGWlyWTbdPQNxHEE4zi8ns5ozYDpy8Um5rZjSqWFNupP0zEZ2aODX84ikmriAMAglQ8hyKwZt8glyzIjSuSdSo5RcmGmIveoRGKiBgmdd5FUaRjxEOaRU1lhpWFhYlo5DJMejWdIx7OmJ7OSVXJ3Pp+A5k2HVcsyOUvm6X7C8DNK4vJTzbSPuIhIorkJOjiVg0g2RZn2w4WSHu6HfzqnboY+BDgplXF5CZoUKunrhX/q2ge9vLoIfz/LxqHybDqKLXr0Wn/e8/1r4jvNDMWBCEBuA2YD4jA18BvRFGcWvr9h0dj3wQb20b53ZpGAuEoKSYNd55SQZpJTemkhvqhkZNkICfpnzOSKU01s3pGJp3jvjgBly+bhilNNZJt1WI2/PeQnZk2LcXJxjhby/wkPdkJU4sEXyjC5QtysBrU9Dl8XLe0kO5xL7NzEyi06ylMMbOufpCbD1PP+tP6Np6+sJZnL5pJNCqSalaRZjXw3Mb22I3KNyEl19e3d7Os1E51poU/fN7ChmaJmzraNsbenokYr3tt/SAlKUZeuXw2GqWCynQTSpmMe06t5J2dvdj0Kk6qSUcpE7AfshL5cE8/q2dl8eTkyFAUOSLHdl5eAo2D7imGE+/t7mNZqaRHnmyceq59oQjbOsfoHvOxqCiRMV+Q9hEfb+zopXPUy8ryZKZlWuhz+Kjrc8bdeA7EmCeIXqXAHQjzVdMwx5Sn4AmGWVSUxJaOcXyhCDu6xvmyaYg9vSrOmJnJq1u7yUnQ8/zFM9Gp5Ly2tZsFhXZqs8z0OAI8uaGNcY/U1T14ZjWvbO3mD+taUCtkXH5ULls7DnK3QRqhftM6yraOMRYUJuENBpmdZ2PHYeNvkKRDdSo5erWC6VkW5uXauPrlnezpjQfl6dVy8u06xr1mPtrbz7u7e4mK8OKm+AmKRauMS2B7ehwcU5GCSi4jSa9Co1Lw3Dcd9Iz7WFpqRyYI7Op2cFptBnaDikgUHjtEjEirlFgV3eNeilIMvLCpk5uPKeGujw7ugnd0ObhxZTGDTr/Eiuhy8MT509nYMsrXzSOUpBgxaZUk6FUY1Qry7EYmvEFOqkmjNsdGz7iP8lQTl/1lu3TsQzDkCnLzsSUISHibjS0jGCYFTuQyWWxylGRQs7Jcohn+/JgSNreNIQhQ3+/klnf2YdEpiUQi/PG86dz1UYOkw16UxA8W5/Pp/j6+bBylMsPMWTMzufKFHVMAqfX9Tj6tG6TAbmBT+xgvfttJOCoyNz+B8+dkc3ptBg991sT1y4tQyWUkTh7Pp/sHUcgki9/iZCP7+ia4amE+93/aGJuyXH5ULk981RYTqLppVRF3nFTBO7t6JQpgTTomrZI5+QkxYCVIBfWqihRyE3Rs7xzj07pB1jcNU5pq4owZGczNS6BlcIK9/S6e3dhOw4CLxUVJ3HJcKc2DTnocPjZNruceOrOalmE3l/1lG6IoFfT3nV7FL48r5cvGYXZ0jTM9y8r8gsTYGB6gZdgdl9QBHvuildm5Nmqy/3vJeN9hOAaQJp/nzc6i+D81sQOvIO3VDwDpzgVeBZZ9Hwf1PxmD7gC/OYQ+MuD0c9dH9fzmxHIm3F7Mhqkjs39mVGea2NwhXdA5CTpOqE5DBLQKOf2u4H87sZemmrnj5HLe3NEbQ7ifXptBeZol7t9NuH1kWXV0jnoYdgVYVJhE/4QHf0jNkuIEkkzS+04xqSlKNsSB5Sw6JZvbx1HKBS6fpECNu/1HBK2oFXKioki/0x9L6gfCE4zEjdgaBlyMekJkWOS8v6efrlEvmTYNJ1Wn8e7uPq58YTu5CTp+cWwpqypSWLNvgEA4QlmqkXtOreTLxmGyE3RUTY6yn9rQTiQqUmDXc8WifJoOk8cEqQg4pSadYytTGXUH0KvkcWphs3Jt7Ot18nnDEOlWLXqVnGtf2R0bTz+zsYPjq1LpGvNyZm0G07IsMXGXA2HTq/AEw+hVcq5eXMC1r+zCF4pw1aI8smw6Oka9MU/0QWeAuz6q5+crS+ib8HHXR/U8es50LAYVBrUCuVzGz9/ayQlVaeTbDZjUCja3j8bGr4FwlEe/aOXXx8dzqkEy7gmEo3y8r58Z2TYaBlyUpZp5+zCkdVWGmY/2DtA46OK8OVlcNDeHM2Zksqf3IDrdpFFgN2oQRNjbO8HuHum/B86oRhThje09JOhV3LC8iGcn39uBmJ5lZXBC2n9HEeJU+P7ybSdnzczk5mOK6R33oVIIuP0RHl49jdZhNzadEpNWSdeYj4vnZSMicPuJ5ew+DK8AklXx9GwrW9rHGHYH6HX4ybRp2dc7wXWv7kavknP9siLOqJUsQs06FdN0NspSIwTDET7dHy8k1Drs5t41jTxwZjU7uhyMeYKsnplJRZo5ZkG8pMROSYqR17ZJBVO6VcfioiR++c4+Wobd6FRy7jy5ki+bR1nfOMSjZ09DFCVd+sYBNzqViuOr0njiq1ZOqEqlONk4xco33aql0K7DolPFHApB4rbnJ+pRKwSeuWgGP319DyfXSFz8C+fl8MjqGgC+aR2hd9zLo5+38OPlRdx7WhWOSfbJt62jsaQOcM+aJs6bncUvJj+PLe1jtA67ufmYEh49u4b3dveSatGyID+RvCQdvQ4/j33ewueT+IGGARfftI7wxHnTCUfhmpd3xCSZX9zcReeoh5+vKua9PX1My7Tg8AbRKKXp5YFRfygi8ut363jvh/O4blkRwXAElWKqfK7/CNbQ7mCY0BFEmf5eZNmmNkKFyQZM2n9PKZjvelSpoijeccjPvxUE4azv44D+p+NISPfWYQ9j3hDDnjDm7xkvkZtkoijZQFGygZXlKTyxvm1S51xBXpKeQrsB+X8T5TkrN4HSZCODLj+JBjUWvRqHJ0DzsAe3P0SSQc2IO8hlf9kW62Bf2tTF71dPQyGTM+oNkzRZCJekmvntyRU8+VUb37SOUppq4viqVB74tInCZAPLSuz0OvwMOv3YTWpuWlnMPYdIRF44L5sJX5BgWESrlE8BhckPW54NuwLs6Bznz18flD5dUZ7MZUflcubMTDyBMFqVnBuW5nNGbQYyAa5+aSfhaJSiZCMDTh9LS+wsLU0m1axhxB1kYMLPxc9u4cnzZ5BkUBMIR/jx8kLJgMKkIUGn4NQ/bUYQ4Kcri3l/dx8tQ24WFiVRlGzkobXSNGVf7wTFycYp7+HjfQNcu7QAg0bJzBwbrUPuGOjs5GlpNA64EEU4oTqNp78+SL96akM7fzxvOo9+Hi/5KYoS6CzJqMbpD7O2fpDlZcnc8tYehBlZnFidxrArwHu7+1g9M3NKIQHSlMCgVsRR6spSTXy4t59TatLZ3e1gVq6N3CQdlekmtCoFc/MSUCtklKaY8IUiNA66eHVrN2fOyGTEHeSmY0poG/agV8tJNKgZ8wS44bUWshP0/Hh5EVadkp5xLxO+AC9cOgunP0SGWUNFuinWSeXb9ZwxI5OXN3dyem0G497QlDXRm9t7OKEqlQybFgGBSFR6P+lmDV3jPt7f089RhUmMekI89FkzaqWM2blTd58apZwxz8GkqJTLOKowkeMq0zhrZhYapTwmygRQ3+fAFYgw6gmSoJdkhg+PKxflxtH6dvdIYMDjqlK4eH4OOrUibvp2z5oG7jy5gtI0E2fPzqQ81SRJnaboWFEm2c++tKWLv27pJiqKLC2xk23Tc/lReYQiIj9cks+ePkdsXD49y0pdn5NTa7NoOKw7BVjfPMwPFxcgEwS6x31ERQn78fw3HbE1QXGykVOnZ3DO7CwmfCFm5dpINatRyWVx37sD4fCFeOKr9pghkiDAVYvySTFrqM60sqNrnB6Hl0SjGrkQjSX1AzHoDODwhhl2B6a4121oGeUqf5gnv+rgpUtnI5dJzdXh7A2nP0y/M0BOkvGISR0gP8kw5R6zoiyZVNN/v8OuSDNRkW5i3+SUyqSVdByOhI34d4jvmtg/FQRhNfDa5M+nA598P4f0PxtJR6B0pVu0yAVQyv41tAnJ1UngN4dwjJ2+ML9+r45sm5ayI6wE/l4YdSqMkzempn4n6xqHeHhtM4FwlJXlyajksrixdDAS5dP9gxxTmULvmI+SyRGXXCYwKzeBXoePLJuOtmEPd3ywn6gIVy3MY2PrKPdP7uCmZVo4e2Ymr10xhwlfCHcgTHGygYgo4g54OH9udmxkDjA9yxJn/Zpp02LTqbj9/YOdIYBFq+LPX7fHRnVKucAfzq7h7R09+EPR2Be5rs/J5Qty8AQjRKJR3tnZF9OIt+lVjHoC/O60SlQKGY990cq3baMY1QquX1bIXy+fxYd7BlDJBc6ckUH3mI/+CR8GtYIUk4b+Se3yA11BmllDebqZtmEPw24/Falmeh0+rDolF8zNJsWkRSkXsOiUPPlVG8kmNdOzLHHI70hU5MM9/SQYVFP0AlLNGl74tgOAEXeARL2SR86dzt7uCUgy8O6uPhL0KmqzrfSMe+MAfwDZCXquXVLAUxvaUStlnFGbwfqmYWoyLWRadXywu5+8RB0GjYKL5ueyvnE4hgNYXJzEBXOy+WBPP8IkOqko2cDt7+9HJgj4wxEMKgU/P6aEC+bmYDdp8IXCmDUqoiLML0jiuld2ct/pVezqcdI77uP6ZYVERZGBiQBr9w/QPuLhqhd38LvTKjk8DBoFg04/2zolUSGLTsWNK4tJt2j5xTv7uOboQt7c3kNVhiXWzV4w14Ra0R8rEuQygfkFCTGq1vyCBNLMaiyT34nCZGPca+7vHad91MfdHzVQnWmhOMVAdYaFc2dl8NKWg6pmUkETT+t7e2cvqypSOG6y4D081tQN4PaHeWN7D2fMyMBuUpNrNyMbcUuj9ENWF2vrh7hkfg4yQcCmU7G3b4Jbji0lHBGJAts7xnlpcxdXLMwjOyEexKqUC5w1I5NpmWaUMoHp2RZe3tzJT1cW8+rWbhoHXSwoSOSieTm8t6uXwmQjC/KtdIz5+Wz/IG9u7+GW48umTNaWlyVz/SFWzqkmDVqlnJve2hNDqq+rH2JZqZ2zZmZw72mV3Pjm3rjniIgiGsXU+6lKLovdZ3/48naeuWgGI25JW+NQMyK7UU3mYRatXaNuusZ8MafEWbk2/njedP74ZQttI15WlCVzak36P4Rmr81J4K6TK2kf8eAPR8lP1DPjCMXjv0t818R+OXA98OLkzzLAIwjClYAoiuJ/Hwb+bxppZjVXLZJASiCBQ65eLNlBGv5FY5e8BA2NA/IpVeqwK0DfhJ+y9P9/z9857o0b2Q27guiP4ATlCUrI2iN9ATMsWh76rDlGo9Iq5RjUSh6Z7DbPqM0gEI5y86RX+YnT0rh4Xg47uid4dmM7FWlmFhYlctOqYoZcATJtOqZnWfiqeYTpWRYKk42kW7S0jrg4fHKWYdXGRpsgjeYe/LSJ65YW8NDag93uY+fU8JdvO/lg7wBnzsjk+KpUzpyRyXt7+jhrRiY3vbWH65YWsbvHEaMQuQJh7viwnifOq+WaxXk89HlrXPHx/p5+rl9WxBvbullcbGdD0zA3riymz+FjW+c4tdkSurowSU9ZqoHWEQ/eYJQfv7Ybd0DS0L/ntErm5CfQOuzh1hPKeHtnbwwt/fHeAe49XfL5PvC+7UY1Ln+YzkkQ3pzcBOQyAb8/THGKiW8mzUl+sDifX7+3j9+dWsWe3olYVzcrx4ZOJacmM4nZeTY0ChkT/jB2k4ZvW0dYu3+Ax86dTq5NTed4gNYhdxy1MNkkOYLddUolGVYNdoMCjVzP706rpGPUi0ouIy9Rhz8U5dm9/ezocpBi0nDLcaWMuP2MeULcfEzppA+5nNocK0POAK9tk5D3GqWMC+bm0DrcRteolwK7gZZDjG6uXpxPx6iXv27pnrxeA/zsjT08eUEtc/MSWFt/gIp3kIv+1IY2blhexKDTj1wmMC3Dgssf4oqFeeQl6slN1DPiDrK/dyLOg3tT6wjd416yE/Tc/VE9F8zL5d1dvXy4tx+TVsEvjinl/mwbHaNedEo5vuBUEGpxsgGVXEb7sIcTq1PZ3+eMG58nGdWx780b23s4eVoa6VY9XWM+vj4siYIkHHT+nGwe+KwpDidxYnVaDFiYoFdRlmqkNtvK9s5xshN0/HBxPr5ghE/qBkkyqrlkfg59jgAPfNrE4uIkrliYR36inpYRN/X9TkpSzfjDIp5gmD9/La2t+sc9PHhGNS9t6YoxEBoHnLF7k0yAm44tpXt8Kv1sbf0Qp9dmEI3CzGwLWzsdgOQTICCxKqZlmuP+7sJ52WTaNDxwegURUYZMkGE3qbnl2FIe/KwJpz+M3ajm3tOryDgkQe/oHOOJr9r4pG4QQZBkny9dkMPiYjt5iTpc/ghZVjVG3T+uPleVaaFqUkPg3z2+U6YSRdH49//V/44oSbVwtlLGnLwEhlwBbDoVZq0cm0FFwn9zv/2PhkmvJdOmQxCIS+5JBjVjnhDjbh9Ww99GyG9pH2VT2xjtIx7m5tkoTTVSmXEQrd87Hk8n2tPj4MfLi9jQEn9TOa4ylW0do5w7SU07EIFAGIVcxl2nVtA77sMXkpSkfCHJiEWnkmM3aXjsEBTpB7v7mZObwC/fkYB3rcMevm0b5f4zqqhVyvm6eYQ/fN7C8ZWprKpI5S/fSuCp02szptzoI9EoJ01LIydBH6MDrt0/hFwmY1FRIq3Dbk6sTmVz2xj1/U5+tLSQ+9Y0xsBWp01Pp3vMiz8UJcOq4Q/r4keFIGllZ9g0vLipM+7xUERaIayenYUoirgDIeoHnLEOuWHAxcaWUS5dkMO0TCtvbOuhx+GPjcAvOyqX361pYNB58Eb/25MraBv2EI5GuXJhHuFolKcumMHObgcJOhWpFg2/+7iRnAQdZ8/KQq+W0z3uZ2lpMu/v7qU0xURpipEdXePMzUvko70DnDc7G4VcQC4IyGQCe3snKEs1cet7e9nV7UAmwM9XFnNqTQaeYJg/fdnMz1aVYNYoaZzEHlh1Sm5YXsSrW7t5dXKykKBX8eBZ1ezqcmDUKClPM7KufoicRB0PrWuOFSgDTj83vLqLv1wyi1+9s49jK1J57pt2PptcE+Qm6rlheRH3fdKIUaPEO3l+3trZw+PnTqeuz0XLkJuZOVbsRhWb2se5YVkh65uG2dHlAGB3t4MV5Sns6nbwSd0AZ9RmxrQAhl0B7vlYGnvnJenZ3T3OptYxLl+Uyx+/bIt9XpUZJm4/oZzp2Ta+aR4hGIni8IZRKfwUp5pYs6+fuklkttMX5qa39nL7ieXYDWr29k5wck16TH0QJK77MRUpXPTcViJREZ1Kzk+WF/GHz1uY8IUwqhUUJxt5a4dEqRRFyVcBoH3UQ0mKMebJfiAK7QYyrTpCh3mKvr+nj2uXFDLuCTAt04JOKefOkypoGZZskJsH3dyzpiFWIM7PT6Amy8JDZ1bj9If4snGYH7+2m+oMMzcfU4IvFOGlzd2IwCNn1/DR3n40KiX3f9LIlYvziERE9vU6OL4qjaIUEy5/iDSLFpNGzpBrqs0rQPe4D7tBxU9XlPDqtm7m5Sewt3eCS57fhkWr4M8XzqSub4L2EQ+VGRYsWiU3vVXHcVWpFKcYyE80sLvXwdx8G39KrsUTCJNq1lCRYYl7nY0tozH5ZlGED/b0U51hoSbLRta/Md/8+4rv3IIKglAF5Bz6N6IovvU9HNP/eGQnmshO/J8dQmQnaPnpimIe+qyJcFTEoFZw5aI8xr1B+p2Bv5nYd3aN8dPX98Q6grd39nL14nxybNpYtZpgiF83hKMiDQMuHj6rmme+7kAuE7hgbg6ZVg15CToybAe/GI0DTj7c08+Tk3zOJcV28u0GbntvP+/9cB43H1NCVBRRK2ScPSuTV7ZKphAV6WY+3hd/wxpyBWgf8fLEV60x28d19UNcOj8n5vf+zs5ebjuxnK+ah9nUOkp5upnaHCufNwzz7qQU7IxsK788rpRP9w+gUco5Y0YGs3Nt/Gl9GydUp/HnDW2xpA7w5o5ebj+xHACXP0Jekj528z4QklGNgFmrnMJPd/lDPLS2GYtOyR9WT+OCZ7bG/b7X4WPCF+bVrd1cMC+bS5/fHvudWimPS+oAf1rfysuXzcLhC0tqbHoVwaiIDGgZcWPWKvjB4jwUchlfNA7x4Z5+UkwaMixakgxqWoc9XH10Pi9t7mJOXgIPH+bZDnD3qZWEwhHm5SWwv89JMBLl7smpzUXzcmgf9dE77iMxU8X0LCt6tYJMq5ZRdzDu3Ix6gry8uZuecS91fU6mZZq546QKnP7QFI52OCrS6/Bx72lVNA+7Y0kdoH3EQ0O/k+JkI8dWpvDsNx1UZ5i5clG+ZDCUbqI200TnuJ+fvbGXjlEvggCn1qSTaFBPIrpl/PKdfdx3WhVv7ejBEwhzYnUaH+7tRy4IXDQ/h/oBSaDp5Jo0Jvwh3trRF7em2NvjZEeXg9wEHVFErnt1FxO+EJcflUdVhpmHPpt6LofdAQYmfFw2P4dRT5DfnlTBrh4HzYMujqtK44cv74gV5N5ghD+ub+WuUytw+sK4/KE4DMX8ggSSjGq2tI0y4QshFwSKU4yx4irVrGFVRQo/eX03VRlmjq1MiWk2iKJUSCwuTqQm6+BYeEvnGHKZRLU8dNq1sXWUYytT0asVrKsfjE1ldvdM4PCF+eHLO2LCWK9u7eb5i2dy09t7MemUrKsfYkvHGP5QlNocG8OuAL9b00AgHMVuVPPoOTWUpZni5Itn5drY1iHRDp2BEPMLEkgwqHn+W6lYdvjCnP6nbylI0HH/WdWc+eQmgmHp9dc3DXPnyRWYNAoue357bL2mU8n56EfzWd84xJ6eCVQKGctL7VOaEun9jnD5wrwpj/+/EN+V7vYMUAXUAQfukCLwvzKx/ztEulVPTaaZHy0pIBQViURE3t7Rw7XLCqnrc1F2GKr9QLQMeeJUxgCe3djBslI707OlxJ6bqOPkaWkxjXS9Ss7xVakkG1X86bzpyGTgDYTJs08tbur7XfzhkBvTuoYhchP1vHL5bFz+MI990YLTL3VfJSlGLpmfy9Nft+Pyh8lLmipkI8IUL+cXNnXxxPnT2T8p49oz7mPEFeTkmnRGXAG+bIiX5jzAu1/XMCRpXedYuHBuNqWpRqx61ZRECge57n9Y18TtJ1Vw7V93xvax8/JsGFSSFeVPVxbxk9cOOqhl2rS4A9JNxuENEY6IUyYrIAGKPt0/wKqKZFaVp/DXrd0IgiQsc3i4/GFGPEFmZJvjjCoKkk0Ujhn4onGYX71bx5ULc1lRlsLy0mQ8wTAT/hDZNi3BSJSecR+nTEund+LI4i7JJjUb28YY9QS4/aQy8hL1IAi4vEG8oQgvbuog2aShwG7CkRfG6Q/x9s5e5uRPlfRsGXJRnGJkUVESE74QN765h0vm5WDVKaeAoTRKScwnZ/Kzn5ljZWFREoFwFItWyQVzc1jfNMSxFSnkJRron/Cxdv8QrkCI1TOzGJjwkmXTsaAgkZ3dDt7c0cutJ5QyI8eKXqXgmqML+LJpiL9cMou3dvRSkKTnsXNqGPcE2doxSlGKmVFPkIp0M0q5jPd39095P/X9ToSaNLZ2jMWoZFJBWUa6RTtFMEcll7G+cYQTqtJ47psO9vZOsLzUzgVzs+l1TAV6jbiD1Pe7KE0xMuYJsrwsmYYBF4sKkwhFRVqHPezqdvDUhnZSTGrOmZ3NtUsKGPMGcfvD/PClnQQjUXodPn68vCiW2GflWsm0adEo5Ix7grj9EhitLNWE0x+i3zkVCByJijyzsZ0EvZpnL5rBY583o1EpeH93X5yFbzgqSuuXkyvY1+fE5Q9z1sxMNrWN4gtGuOPDg/ifIVeAn72+h3tOq+TDvQPU9zupnDzff/m2g1OnZ8Skmq9dWjDlmHwRkU3tY1w6adH80d5+3IEw7+6WkPGHgt+WFiXSOuLlqhe3x3bu6xuHqEo3xwnxgKSN//9qfNeOfY4oimXf65H8X0wJo1pBcYqR7jEfCrnANUsL+e0H9ayelUXvuJd061RE5uG8bJBEag59uCLdwlWL8jiuKpUJb4hMm44EnYoeh4crXtzBoDNAbqKe208sZ+FhTnW7j6AX/sn+AS6Yk8Wt7++PJXWQxtLLypInhTcinDItnQ/3HAQ0aZSymCnFoSEi0jjoYka2BbtRw8Prmuke802OmhMYdE1N1Fs6xrjthDI6R33MzLFy89t7+eHiQr5uHp4iaysIB927XtzUyQe7e3n2opm0j3rQKORolAIiApFIlFnZVv58wQx2dTsQBEnm8qkNB3fuw+4Ap03PiPOYr8ow0znqJS9Jz6g7QGWGmVFPgC8bR0i3aKcAgU6sTqN1yE2OTTfFgcrpD5Ni1vLr48vY2jHGE19JKOXFRUlctVhPVBRJNKixG9XoVDL29Smm0BHLUo3s6Xbw8DqpIHt1m7TXdQXCGFRyLp6fy6PnTCcUibK7exydSsbbO3sZ9QTJSZhajM3JSyAqimxpH2Nbp8TT/90njVy1KJ971jTEbvjHVaayrn6QXT0OFhQlUp5mojTVFAcou/mYEubkJyATBPb0THDvhwdHx7/s3cetJ5Qhk7n4YG8/Rxcn8YNF+bgDYe75uI5AOIpSLvDj5UUEI1G2dY6xoTmKViXn+mWF+MMig04/Z87IwO0Pk2bRMK8gIU7TASSQp8cfpusQIaFhd4CH1zXzs5XF/OyN3bHPa0VZMvt6J6jKMPPips6YDOxft/awp9fJz1cWTyn07EY1E5No/8e+aMFuVJOTqGfMG2Rv7wSzcqx8WjfAr44rxaZXMe4NoVbIaB1y89w38asgmQDnz8miJsuKJxBhX6+TcU+Q6kwLIlE6R3088nkLD59VzcKCRNYfsrMXBCZZFdLk5O2dvfzp/Fqe/7ZjCrMDJCzADa/ujhnRCALcf0Y1oUg07v1lJ+hYXpaMVikjHJHEiD7Y08eEL8TTF8wgEIlyzswMXtnWgyhK3/tDJXkvW5DDrp4JaRJl1vCjJQW8tq0HmQCHE4B+fmwpt7xTF/f9+aZtjB8sLuCz+sGYcl5+koGFhYkAOL0+WoZ9hKIi6SYNGUe4pv+3xXdN7N8KglAmiuL+v/9P/zkhCMIq4PeAHPizKIr3/Kte+98lUkwqPq4b5I3tPYhIe0O1QkZUFOkcO3JiL0jST1GPOrkmnSxbfMIoSTVTcoik7Ka2Ea56aWfsC9c+4uHnb+7hzxfUUn4ICj/zCK9ZmGQgEInSOnwkI5MID5xRTapZQ4ZVxVMX1LKjU0qS07OtWLSKKV7wJ01LJxoBk0ZFbpLU9d8+6VndMuTmuKpUtnfGC7/MzLGilguMugMMOgPs7XHy+JctXLU4j+Xlyfzmvf20jngwqhXcuKqYEZefja0j3H5iBRExissfon3YgzsQQhAEpmdaUchl+IMRPm8YQiaTWBHPTlKEAJaW2FnfOIxKIefe06v4unmEDKuWQDjKy5u7eOisapy+IOGISIHdyNz8RPKTdNx+Yjnv7Opj2BVgaakdhzeESiHnSOZT0jkVEUUxThr4y6ZhqjMttBhUPPpFK3KZwMXzczCp5Vy5MJ/tneNs6xyjJtPKMZUpXPxc/Lrg3d19/OakcpKNGq54YTtDk8XSqdPTuXheNkaNgiFXgLq+Cc6ZlcXr27sJRUSWl9qZkW2NA7OB1JW+vr2Hp86fwa4eByq5DLtRzU1vSeDJrjEv587O4pZ34sWN7vukkWcunEHPhI8+h28KUPLlzV2UpBrJsunY1jlORZqZBz5rihWHoYjIg5818fi507l2SSHuQBidSsEDnzSiUclZVGRnwhNk3BvijNp0Usxa2oY9rG8aRi6TrGtLU410TvgoPgwZ3zzoZtDp43enVTHkChAMR9nV7WB3t4MHzqzmxjd2c/uJ5WiUclqGXLy1oxdvMMwtx5Zy3yeSwJVFp+SqRfns6nYgRkW8wQgdo146Rr2kW7SsnpmJRafk0vm5eEIRfvH2PnyhCCaNgl8eX8bMbCtbJ6/1dIs25ilwqNf6idWp9Di8LCqy88t39lGRZuY3H+znl8eVIZMJfNE4jN2o5qpF+by0+WChEIxE2d4xRigU4cw52Xx+iILjtEwL9f2uOHc5UYQ/b2jjthMO9ng/XJxPXpKe7nEfH+0bYFGRnUg0ijcQIc2q5dmNHTQOujiqMJGXLpvNzW/u5caVJTy7sZ3ucR8nVKeyr88ZW6v1jPu4Z00DP11RTKpZQ/QwXEFUFBn1TC3s1+zr50/nTqdpyI0gCOQl6qlIN7O/z8EXjSM8/kUL3lCEpSV2frA4/99WCvafFd81sf8FKbkPAAEkRV5RFMWq7+OgBEGQA48By4EeYKsgCO/9KwuLf4dIMuuZnWsjHBX5vGGIGTlWTqpO46umYTRHGJEC1GbbeOcH83D6w0TEKN+2jjI/PxG76b/mW/aM+6YYW/RP+Omf8FM+icIfc/uZm2ejLNXI/klJSpNGwSULcsmyqFlaap8iPlKeZibZrKF+wMW2zjCFyQbOn5OBWaeJCdg8cs40Pt0/RF3vBEtK7BQnG0kwqCidlPI9qsDGPadW8sb2HuxGNSvKkqnrm4ipuh1VmIhaIWdN3TCzcq3oJhH+e3omuPrFnfzo6ALOnZOFwxdCIRNINWnIS9Rh1Chx+YMgCNzzcUMsuQHs73UyK9eCNxzl1W1dPHBGNSPuAPecWknrsIe8JC0pJsnc5ZO6QQrtBs6ZlSlJEftDPLy6GrcvxJArGKP/geQK99uTK8i06kg2qvm0bpDTa9MpTjaQkzQVoypJmDppnuwyZQKcOj2DNIsGi05J55g3dvP97Yf13LiymAc+qyPTquWaJQW8uqWLnnHzlPGwKErWtU9taI9732/t6OXo4iSuXVrIda/s4pO6QYqSDVy7pJDsRB2vbOnmia9auWpRwZTOtGXITTgaje2Qr1taGDMNemuHBPI7/DjCURFvKPI31xSz82zkJRpw+cIU2g1Y9aopmIdQRGTCFyLFpKFp0M1XzcNcuiAXEXhmYxsXzs2hONmIUaui1G7gR0sKOK02A9WkpadSDgFPlD3dDn62spi3JmmTJ1ansaNrgk/qGllVkcIJValkJ+i4aF42/mCYHywu4KXNnWiVck6oTuMnK4roHPfy4qYu7jq1kmhUJBIV8QbDnDY9PVbkHIg5eTaWlCShUcjITNBzxQvbYp2o0x/mzg/refzcGq74y3b84Sg/W1XMt62jPL0xnlv+3u5+/rB6GmOeID9eXsS3raMYNAr29E5w9qx0VpQlE4pE+WDPwJTiW6mQcdvx5agU8Ieza3hpUycry5MpTjEx5PJzSk067+3upSzVTFQUGXNLRdKF83Lon/ASiojc+OZeIlGRdIv0nbDolBQkG7j0+W2x1cxft3TTNerlt6dW8Ma2Hp6/eCa+UBS5DM7785Yp16ZRraA8xQgC3HpCGc9sbEdAwOULcmpNBvt641PBgsIkehx+esZ9WHUqApMTiNZhL/cdoqOxtn6IZJOGYrsew7+hYtw/K75rYn8aOB/Yy8Ed+/cZs4AWURTbAARBeAU4Cfh/KrGDhIRvHXJzck0agVCUOz6oR6+SU5VhQauUUXrYrn1H1zhPf93O+qZhiuwGrl9eRM13qE5zE/RTpGc1ShlmrYrOERf1Ax7+uqWTUFjkZytL8IciTPhC5CXpmTVprbiqPIU+h49P9w+iVsi4bEEeZalGPtzbz7MbO3D6w8gE+P3qGk44xGjGrFXFMsQjn7fgDoQ5d3YWBo2c3EQjwbBIgl4V03GXC/Dbk8rpdfgJRqK8vbM31tF/vK+fpy6cwYoySTKzKsNM87CbNV8c7HblMoGXL5uFXqMgFBVRCEJccgPY3TtB56iPZJOau0+t4r1d/ezqcTA7x8bqWZl82zbCbe9JnOgzZ2SSZFSx+qnNXDwvm5OmpeMOhLBoVTEFuQPRMuSma9TD5Ufl0OuQUP9JRhUlKfH7wEAwzLYuBx/s6WNfr5MlJXZuObYEbzDCh3v7+XCPjx8tySc7Qcedp1Sws8vBG9t72NE1TkmKkbo+JwqZwInT0kk1q8m0aeM062fmWFFMouUPj74JP3Nzbdx0TAlDTj9KuQyzTsnubgd6lYKtHWOolAKn1qTz5iS6G6A2W+LEn1KTxts7+/hwbz+XLMiN0QUD4ciUaZLkyy2ws2ucFWUp/HVLd4xBYNOryLbp+c0HB7/2qWYtRrUC1yFCO2qFjM5RLy1DbmoyLczItfLK5m7aRz2sLJeEicxaBV82DkkaAAY1eQlaKiaZIlvbR3n8y1aWlSXzwred/OjofBAE7viwPsZR73f48IcjNA+4aRp0saI8JXbNgQRA+8WxJSgEGSaNkq5RL3KZRE18eXMHe3omqM60MO4d4uRp6WQn6MlO0PHzN/dy87ElOLzBuPEySJ73AxN+/nheLXJB4K9bu8hN1B/RWU4UpSLiUBrr2v1D3HJcCTNyrDQMSPeQLR0H99AquUyazHgCZFi1lNgN/Pr4Ul7c3MUdH9YjilCaauRP59Xy1y3dyAS4YmEeA04fvmCYM2ozY7tzkECj7+/uY1V5MlFRnIK32Ng6yhUL87hoXvYkYC+ELxjhpJo0kowa3tjeE2O/aFVyiicL++JUMytLkxh0hwhEJGzBTatKeHFzJxqlnCsX5qFTy7jwmW2x1ypKNvD4OTXUH0G0RzKnyaL0/xI7w6Iovve9Hkl8pAOHilb3ALP/ha//bxNl6WauX1rIpvYx3t7Rx5kzMwlFogy5Agy7gxwqFNo25OKuj+vZMckX3dUzwQ9f2sGzF8+MJd/DwxcI0z7qxuELcdH8HDKsWjItahY/sIGfryqhMlXHV60OHl7bxIryZEQRPqkbYHaujVNr0mgZ9tAx4iIn0Yg3GOKmVcVcs7gAmQzcwQiPf9lK15iPHy0pxOkP8sjnrTy8tpnSFAMKmYA/HMXlk8Q6Dt3Pv7yli1UVKTg8IX73SWNMjCZBr+Lh1dO46LmtvHTZbN7Y1hsHmglHRT6rG+DkaWksKEzErFXGjS1B8sles2+QT/cPcPXiArITdNywrJDHv2yNjXhlAmhUcsa8QR5Z1xwTzvm4boCGASdz8hNi//aFTZ3cdUoF2TYtVRkWJnwhnviqjY4RDwuLkphbkMifNxzssvzh6JRVyOGxp9fJz17fHROqaRhwsaQkibl5CZSnmfjJimLW1Q+iVshJs2jod/i4cF4OdoOKdEuAyxbk8saOXr5uHkGvklYFG1tGJrn2VubmJdDn9FGbbWV9UzzdL9Oiw6JV8N6uXk6oTkOjlNE54iHFrEUU4RfHlqKVK0gza7j9xHL29jgoSzNRmWHGqJJx8bwclpUmM+oOkm/XMyfXhsMbpCjFgE2v4omv2ugc9VKQZOCi+TlsaBmRaFhrm3ji/Fq2tI/h8odYWZ7Cda/siju2v27p4jcnlXPre3U4/WF0KjnXHF3AS5u7GHYFePqiGVz94o5Y4m8ZcrN6RiaZNm3MFlStkHH3qZX4Q1Fm5CYw4g6wsXWUuj4nD5xZzbArAEKUXxxbQtOgG61SjiBIo/CdnQ4uXZBzRKfBpkE3tdlWqjLMPPpFC5GoSGnKAL84rpTzn97CqTVpPLK6ht98sJ9XtnbHmC4vburkonm5yGVCHIDNqJbWIS1DbpoG3USiIl1j3imYEf0kvfSOQ6SwgUnqXoiuUS8T3hAVaUZuWlXCpvZRTBolVRlmnljfxuVH5fHS5k6GXX7OnpUTt2Kp73fxzs4++id81Pe7WNcwxBPn1VKTaWFv71RJ5p3dDq5anB9zgVtSYmdapoVgJIpWIUc3SdXsGPXy4qZORicLJ0GQrqv71jRSlGygwH5wD76nx8HHe/t59psOolE4c2YGF83NYXFxIgqZgAw467Cuv2nQza6eCVLNUynKeYl6jJojq9X9b4nvmth3CoLwMpKNa6y1+Z+kuwmCcAVwBUBWVtbf+df/2REVRdY3DXFidSq/X9tEVJS+CDcsK6Q02UCSWRqz900EYkn9QHiCEdpHPH8zsbeNuvl47wCPftEKSAnt9pMq+PrGBUSiciYCUVqHXMzPT+DxL1oJR0VyE3QcX53Kbz9q4O0dvVLnsaqENXVD7OudYH5+IrPzbFz/yq7YDXZH1zg/WJRPkV2PSadEIRMYdAXZ1S3RhM6cmYlWKeePX0qvIYrgC0ToGT9oBgES3eqlTZ08fu4Mnv+mk/39Lk6dnoE/FOGlmAmFwG3v7+fnq4rJS9RhN6rjpIKnZ1lZWz/IL48r44mv2mgccDG/IIHHz53O1S9tJxyFO06qYMIXQhSJU8MDaB/1csK0eGvbT+oGeeisaQw4/Vz14o4YGOmVrd2sqkihJtPCzm4HaoXsiN7fh4bTF6R5yBVL6geSilWnIsGgJsOqo3HAhS8YYXvnOGWpJk6eloZVr6J/wk+WTce3baMxsRNPMMIPX97JnSdXMDc/kY/39rGjy4FcJrCs1E73mBeTVsmyUjsGtQKTVkEgHOUXx5bSNOim3+El1aKNqbaBxHi48+QK9vZMMOYN8uzGDhYX21lVkcL8gkSqJl0O3V4/27udtAx7aB/1UpZq4hfHltAx4qVrzEvLoHRtObxBVpSloJQLrKnrx+UL4w1GEInvYkc9QUKRKDcsLyI6idz+y7edDDj9CIK0yz+0mwd4Y0cPVxxCewpFojz7dTs3LC9iwhuMFZQ/XFzAV00jPD+p8AdwfGUqZ8/OpGfcx/2fNJFkUGPVqbFolVM+N51Kjt2gjk+MAy4+2dfPMxfOYF+fk909E5w+I5OnvmrDHQhL5izLijCqZdx2Qhm3v7+fcFSii/78mGJ+v66FBQWJWHVKCuxG7v+0kRtXlfB5wyCb28coTjbw82NKaRt2H9HK1BeKcNNb+5jwhchJ1HHWzEzGPEG6x3wxuptCLjDsCnJ8VTo7u6aaFm3vHGdBYSL1/ZIU8ls7eylIMjC/YOo9pSLdhC8YJssqWVr3T/h5cFJSVy4T+P3qaXzVNESiQRNL6iAN7N7b1csT50/HqlMRReT1bd14AmHSrVo+3DsQm1S8uKmLdIuWHyyWEPZ7uh2Me6by6F3+MFUZZsrTTDHKpk4l56pF+XEU3n9WuL0h6gedDLoCJBvVVKSZ0KqnXif/iviuiV2LlNBXHPLY90l36wUyD/k5Y/Kxgy8uik8CTwLMmDHjv6/q/x8UZq2SZaXJcWIToggPr22mNtsWS+wapWwK4hTAoD7yxxyORBl0Bnj8y9bYY1ER7vqwnrKUWdRkmegZ92I3afjdJwf3xO2jXv74RRtWvTQSnVeQyI9f3y11OkhSrr0TXkrTTHHd9PPfdvDnC2t5aVM3z3zTgVWn5vfrDvKEM6xaLpyXw9Nft5ObqCcnUcfePVNHxeVpZn748o7YmHRv7wQnVqdRlWGmvt9JdoKOkhQjySYNL2/u4qcrivnpG7tjlq7BSIQrFuZx4xt7Yklgbf0Qw64Aj58jmVM88GkjTUNublh2ZHfiwzXtM6xaHvqsiROmpcchjFNMGirSTMzJtXFMZQp5SQYyjtBFAHSPedjfN0E4CmkWLeVpJmx6FbNzE4hEo3SOemPTB4VM4O5TK1Ap5OzpcWA3aciwavnth/s5vTaTz4+gF9885EYmQJJRw3PfdCAT4LIFudx5cjmb28djWACZAL8+vowF+TYUMsm34OqXdsQ9V8OAi7YRD/d8Uo8/JF2UL2zqJM2iRqeU0T0uyemqFDIuff6gB4FeJeeaJQVxI2OjVsmJ1akk6lQ8tr6NxgE3vz6+lEK7geIUY9zIW6+SM+IJ8urWbublJfDXSeEcs1bJT1cUYVQr+NGSAt7b3RdDSKsVstiYe2V5CuVpJnodPvon/HSPeUk1ayTshVXDvZ8etAUG+GBvPyvKk/n5m3vRKuXcflI5176yk7NnZ7GxdTT2fTSoFczIthKMRONof4IABXYTV7ywPXYOTFoFVy066KImF0CrUjA7z8IT59fSPOTGH4rw2BetEsCyxI5Jq+C5jR38dEUxn+wboCrDxLVLCjFpFDz4WRNnzUjnx8slFcW6Pifr6odQK2SYtcoYha9jxEvTgJtQJErrsDTynpZpwW5U0zLsomvMfERJ7Yp0UwzjceD6+HT/AKOeAL8+voTffCCds0SDiqsXF/CTyWv096unccULB0f1kajIbe/VcdsJ5ew4QgEx7g2hUUomUT97Yw+twx4WFSUxLdPM3adU8vaObt6YNCj6bP8gq2dmYNVrKEjSc2J1Gm/tPJgilHIJQFebbePuUypoHfbgD0XJS9IzOy+BXV3jhKIiKSYVmf+EJD/u8fPurn5+88F+ipKNrJ6ZiUwQsBuUZCb+6/Xdvqvy3MXf94EcFluBQkEQcpES+mrgnH/xMfzbRE6SgbQh15SEHRWlDiXH4SHdoqfYruPqxQWxChlgQUFinEfx4THmCU5BIvtCERy+ECNuP+kWDV8ewc98U/soT5xXy6d1Q2iUslhSPxAf7R3gmqML4hK7Qi7QNuzlw739XLEwL442BhKAz6xVsrTEzlWL8tjTOxEDwh0aBo1iij73h3v7eeTsGgxqOd5ghK4xHT/6607+csks+iZ83Hd6FSaNEn8oglwmMO4JTunsdvdMIJfJeHlrJ02Tu75N7WNxoiAAZ8/MZO8hYixJRjUpZg0vbe7izJkHp0cKmcAVC/O4++P6WGIpsBt46MyquKoVpCKracCJwxfm2Y0ddI56WVZmZ2VZCtf8dSfXLyuMu3GdNTOTx75ojZnLNA+5mZZp5qEzp7G1Y4wCu2GKC5hVp6R91MOKsmQ6Rr2kmDTMyk0gIsLvPz9YYEVFuPeTRoovnIFaIaex1xnncHcgXP4w5akWtk/epGsyLRQlm7jwua2xPfpp09NZVJwUM6bxBKUpTJJRHbtmXtsmWfkORAI0D7l54rzpvLG9lzs+rGdleTL3nV7Fu7v6SDSoKU018viXrVw0LwebXsWqihT6HT4uWZDLre/VSQwDuYyrFuexZt8ATYNurj46n5c3d1OeZsKsVca+H69u7WZWjo2bjy3hrpMriIrilD03QM8kj/20SfvT/gk/f/m2kxtXldA37sNu0lCebuJP61tpHnRzSk16DFsxM8fG2vqBOBqq0xdmxB0g1aRhWVkyxSlGnP4wcpnAZ/sHSLfqeGlzFyq5jF8eV0ooHCUSEbluaSHDniAlKUZsBiUuX4jfrWng8qPy+LxxiBc2dRGJiszLS4h5INz1UXyhsr1znN+cWM5n+wfJStBRYDfwuzUNRCIgTBrFLC5KiknXpps1zMyxcffH0vPIBKjJsvLR3gEGnH7+dO50njy/lv39Etf9Z6/vjqH6D+f/g8SeSDSqsJs0KGSS2+OBa+vU6RlYdUp2dk/QOuzh2qUFbOsY5/frWtAq27lmSQF/WD2Na1/ZRV6SHr1SAlvqNErOm5OFViXngz39pFu0XLu0gIp0SYejKtMamyD1T3h4aVMnY94g454gu3smWFiUyJxcGylGDdn/oAV327CXOz6s59olBdTm2Bh1B9jTO0GWTUdEFP5p1t7fNb6rQE0G8AiSHzvABuA6URR7/vZf/eMhimJYEIRrkIxm5MAzoijW/Z0/+18d6RYdNr0qLqEd6NBHXEHSLXqMOg3LS+0U2A10jnpIMqrJTzJMkV8EaB500ufwk2HVsrw0ic/qD+5Zkwxq0iYNFuRyOYkGyShDJsAFcyUhEoVchisQ4rTaNGRHmAEqZAKqw0ioVxyVx9OTyVwhEwiGp4KA0i0aTpteRtOgh5+9sYclJXbOnZ3Fa9skutWcXBvmI4xBFTKJ6nbruy3MybNRYDdw+4nl3P9pU2yHrFbIePzc6aSZ1LSI3inPoVbI0KhkcVS6b1tHOaEqlTtPlqQ6bXoVJo2CRcVJlE8KYATCER79vIWKNBP5STqKkw00DrpZXJzEO7t645JFy5CbPb3OmMRvNBqld9yLNxRBJpPxq3fqYip57+/ux+UPMyfPRvQwOHmiQR1L6gdi1+QNMc2iJS/JQF3fRGzMPD3LypArwIKCRPyhCCdWpzLsDrKvT7r5HI5W9wal4i5Bp+LtHT2sLE+OK260SjmFyQa6xyWU9anT01lYkMh9nzTGgePe3NHLT1YUxTnOufySZe2BKy7RoMamU9I67GH1zAzCUZFVFckcX53C+sYRXtzcwU+Wl9A44CQUEbl2SQGFdiPDHj/nzspEq5Jz9Us7cUx2ycFIlEc+b+G+06uQywRKkvWYNCrGPIE4cSWQ9A/29U5QnmZCIROozjCz+5CizapTkmXVkaBXYdEpYyudzlEv93zcgE2v4lfHldDQ52Tz5MqoNtvKzi4HO7sdpJk1NB8ih3wg3IEwN6wo4sFPm3hhU2eMjz/sCrCufpjlZcmEolH+8HkzvzmxnDSLhsfXt8VoYUq5wH1nVPGr40rZ1eOM47t/0zZKUYqRLKt2SsE9Lz+B4mQ96ZZs2ke9OLwhjqtM440d3SToVby8uYt5BQncsKyQiCgVCe6gpOgXjkaZnmWNySynmbUMTvhJNmtZs6+fhoGD79MTjJBu0SITiGscKtNNZFu1KOUy7jylktYhN4lGNQl6FXlJBkpSzXzZKGlPtA97+KZVUgn0hSLc90kjj5xdw/mzszhtRjoq1UG3venZNirTLZw9S1rp5duP3CU3Dnio63OyuWOU1iHp2t3eOc5RhYmsnpGJXgOJxv9+Eh52B0izaJiRY+OpDW2sbzqoH/CbE8sRxSi5RxD8+r7iu47inwVeBs6Y/Pm8yceWfx8HBSCK4kfAR9/X8/+nRUGyRJO6/f06Bp0BbHoVVy3KJxyOxiXI0jRzjCb2t2Jrxxh3T4LslHKBi+fncm2qmT983kKKSSMBiwIR7KmSbG1eooEzajMw65R80TAUo8yo5DLuO6OKbR1jFCQZaBk++MU+bXoGdqOaHx6dT9uwhyUlEr+1fTIZfdk4zAnVabx9SBdq0ijIsOnQK+W0j3gQRUlidka2hWuXFhKKRFlWmszubgdZNl2cwt6ZMzJ47ptOht0B3t/Tz/QsK7mJ+jhgWCAc5b5PGllQmEhlmomlJXbWHcLd/eHRBezudlCeZmLjIbKj7+/ppzDZyGtbu/GGIhxXmYpGKUerlPPS5k6iotS137iqhEBY5J7TKtnb60Svksc6nUPjwD6wvs+BJxihc8zLiCtIplXHWTMzeOEQd6/1TcP88OgCRlxBshN0sfHykTjvII1+1+wbIN2i47FzpjPoCuD0h/AEwuQl6smyavmyeSROJObRc2omRYQOXkd2o5o0s4ZAOEowIpJq1nL2rEzWNw6TlaDj0gW5IIqoFHIyrFoMagUtI544UNeBOHzSNC3THNvvygS4dEEuD61t5riqNBoGXDw2ieXITtBx1aJ88u0Gxj1BNrePUmg34ZULbO0coyzFyBcNg8zISZzCahBFGHYG6Bn38fSGdn5/VhUdY/44cNqBCISlNUcoKnLbieW88G0HXzQOU5Fm5qyZmUTEKPedXoVOreCpr9riztOYJ0jfRIAUkyZ23rZ3jpNi0fCnRdMZ9QQoO2THeyCWlth5a0dPjKoYikiI9ifPr2VL+25e3tIVOzfpFi3NQ55YUj/w7+9f08QzF9Wyuf3gtZpp0+IPRdnQPMzqmZkcU5ES0z8oTjZyem0G4WiUDS0j3POx5J+gksv41fGlaBQynrqglnX1QyQZVGQn6PGFohjVSm5YVsDvPmmK4SwUMoHrlxUy5gkQioS55uhCbnhtV6yIrUgzYTeq+NXxZTz2RQsj7iDlaSZ+cWwZY74Q9x0CiAW45uh8FuRL7J2iFMnM5qO9U1UCGwecdDt8vL6tl0gEanMOMn6UChkVf8f5smvUS5JRHUvqB2JD8wgzsq0kGNX/UGJPMWk4pjwZhy8US+onTUsjP8mAQi4w6g0hH3WRlfCvGct/18SeJIris4f8/JwgCNd/D8fzf/E3Qq2Qk2WTUMido16ioohRI8cfjqI6Av/3b8WYy8dLmzpjILtQROTJr9p45Owanr9kJnajGoEo6ZaDF3dJqolTa9JoGHTH8WCDkSjPfdPBBXOyOa4qlZ1dDpoGXVSkmzGoFSSbNHSMuqnKMPPbD/Zz0zEllKUaaR32sL/fybRMCzeuLOaDPf1k2nTMyLFy/Ss7uf/0aiw6JQl6FXecXI7LH8akVZJh0WBQy3n263Z+tKSAPoeP1mE3c/MT+appOLY3BAmsd9JhADeQOuaji+1c9+pu7j29kuMqUxnxBMmwalErBL5qHuWcWVk0D7pjyWJ5WTItQ+7YyHBxURL3f9pIgkHNtUsLiURF5DIBm17BSY99S5JBzY2rilhUmMCentSYNvaBKEszsaNzjHBE5NVt3XGUsRuWFTI9yxIzOrFolXgCYV7f3s1PVhSzrWOM3d0TyGUCC4uS+OqQwmVVRQqb28YQgVXlyeiUMmqzzFh0SgQElAo5+/ucMR/uA3HfmkYeOKOaW9+rY3TyXNywrIhQJMqEN8iNq4r50cs7MeuUzM1PINumw+ELEQxHuWlVEelWHRc+u5UZ2TamZ1mn7E/zk/TkJ+lRK+ST9qJabj+pnHA4Sjgq8od1zXSMeimwG/n9uoMddeeol7d39jI714ZVp2RWbiK/X9uEJxhBrZDxoyWFnDY9gyF3kESDihH3wWmWIEAoKtLv9CMCjUNe0i1q5uTZ4hJKklGNWiHjhsm9cLpFy32nV3HStDT29TlpG3bT7fDxzs5esqxabjqmJG7nf+7sLD7bP8iioiSsk2I0D33WhAgcXWTnoz0DlKQY+NmkVapWKeeUmnQe+7KFYytS4/TzAdpGPDx90QwiUREBSDSqSDGqY9fDodHj8OEKSMqEpalGTp6WTsOAC51KzvQsK69u60IuyLj/jGosWun7WJlhYVvHGL87xBQpGIny2w/reeK86XiDYY6tSGbQHWTNpDiWQiZw2cI8rlmcx7ISO95ghNwkPQaVjAyLhs/qh7DpVdx7ehWdo14EoNfhZ0+vk5WlSRQnG/CHoqRaNJSmmvlob1/cZwDw1IZ2jipMItmiJz9Rh7I8haYBV0yc59DPa0+3gy8bh2kf8XD3yRX4wxHaRrwMuSTaXm6Chjz7kZsbm0HFmPfIhjVREUaOoGr5XSI3UcPRxfaYA+OxlSkoZAI6lZyP9w3w9s4Ip9dmEAiJFKZ8/537d03so4IgnAf8dfLns4HR/+Lf/198D1GRbiUQGiMQijLo8qNVykmyqMk/grDJ34oBVzCuGz0Q9f1OXtnajcMb5P4zqilJtcb9vjDZyJaOqYCXnjEf+Ul6ylJNzMmTJBwnvAH6xr28s3uAJ75qRybA0xfOZG/vBNmJek6ali6BipIMbGgeJtWioWfcyyd1Umexpm6QpSVJ3Ht6Fbe+V8dJ09LItOnoHvNiUCt54Kxp/HF9C00DbpaU2EnQq+JU2UAaVR4JuXxUYSLbOqWbyo1v7EUQpMr69W3dNA+5efD0Kur7nZxQnYZeLSdBr6LQbmB/v4vyVBNatZyXt3Rx2VF5fNE4xLMbO5ifn8BlR+VywTOSo9eA089PXt/D0xfO4KRpaQQjUclHXKviJyuLCAQjbBl0k2rWxCV1gMe+aOXuUysYmPBL56o6DU8gTG6ins1tY5xYnUK6RUu6RcPlC3JYVmpnW8c4uYl6esa9rNk3wO9XT2NhoQ2LXpq4uLxBGgZdeIMRTFolNn18Euwc86JVyrj66HzGvSHG3EF++c4+tCo5T11Qy+8+buDapYWoFAKiKE1bFqgVVKWZCIvwwZ4B9CqJJ/6bkyoY9QToHPWilEtmQu/t6mVpqZ3KNAtFyXrqJs/lru7x2ETjzBmZKORTxxDbO8eZm2dDpZDx6OfNseIqEI7y8NomZuXM5pvWEX6+qoTb3qvDE5QwFD9YlE+CXsVRhYlEoyIGtRyTVsHPVhTz2rZuvmkbpSTFxOnTM7j2lZ2x1+t1+HhqQzvnzMpEJZcx5g/x+jZp49g64iUUjnDjymK8Iam42NA8wq5uBxfMyebU6Rk8vK4JVyDMDxblc9fH9Ti8IQqSjbyytYvaLBv+cISH1krKeUtLkqeMqgvtetbWD/HM1+2EoyIL8hO5fnkhNv3Ua3lGthWrTo1eJePsWVn8+t2D28q3dvTyyNnTEBCw6BRs73Iw7g0RjkSZ8IXipg4HzueoJ4hJqyAiQkO/kxcOcTZ86LMmMq1avmkdwe0P4/SHCUYipJm12I1qbn1vP0aNggvmSvTF7Z3j5CeVkGYzkGYz0DzgZNwbYkv7KBbN1PcSCEdjx5RqUvNt6zg/WlrI1S/tiOkaTM+yYNGpGJtcuXzTOsqYN8hz33bGTTNuWlXCKkEgJ2lqAs1P1DEw4aMqw8SenoNTlOVlyeztcbDoMAnt7xpmnZb85CgIAkq5QHGKCa1Szp0f1cfWXFs7xnnozGr0aoE06/fbuX/XxH4J0o79ISQ0/DfARd/TMf1f/BdRm2OjIj2CwycJWmQcQeL1vwqzRkFJioHhlvjKNN2iZcInAenu/riBArueqkOsXgPh8BFNFU6oTsXlD+PwhUk0ytnf68DpDxOKRFlUlEBttgWrTsVNb+2Ndfsf7x1g9cxMzFoljYPu2B7tQPSMexn3BWka9DAt00KiQc0T69toH5H+PjdRz8NnVaNVykkzqel2+Jmbn8C3hzzPRfNy+Gz/AD9ZXsQTk9Si6VkWTqlJ59pDuNGiKNliDjkDnF6bQbJFw0/e3BND0N98TAm/+aCehgFXDM3s8of57Yf1nD0zkwvm5qBXy1nfNMKYJxT3vB0jHmqyrIQjUS4/Kg+nP8zv1jTwmxMqeHdXLxfMzZlyPoORKDa9muOr09jWMU7nmIeFhUmcPC2dz/YP8pPX93B8VRpalYLWEQ8dQ24umpfNq9u6mfCFePScGmZlWyQKk9OPOxhmyOmnz+Hnro8acPpDnDY9g1m5CbFdqUouwxeOTuFB+0IRhpwBusZ83PlR/O9m5lpJsWi4+6NGNraNcNmCPB78rInfvL+fh86aRsOAExFpLdAy5ObokmRyErXc8Noe9vc7qUg3c0xFMgAzsi1UppkwaKfejsrTTERFcAXCcToHIGkWOP3Sjlgtgz9fOIOOUQ8Ob4hMq4bGQel66Z/w803rKD9YnIdBJeOcOVmsKE9hzB1gX9/ElCS3t9dB85CVkhQja+pa43734uZuTqhO5bEvDj5enGxAoZDx9NcHtQqUCiG28x/3BFHJ5byzK76Iy5xcYTj9YQQBLp2fg9MXjgn6AHzdOkJ+sp4lxUncdUoF96xpwOkLU55m4sfLi0g3q5mTlxBHRTzw2dX1OUkza7nixe2xFURttpVfHFOCVimPY29olDJahz0MTPg5b04W37TGd9QgrcW6x7ycVJPG3R81xACBZakmbjmulPwkPd5ghFm5VnZ1jlGYbGDY6aNvws+rW3t4fXs3MkHg3NlZ3HZCGbcdMvmYnWslzaJmY8sI4UiUOz7cT1aCjj+eO50ehw+tUk4oEuXGNw4aMinlAg5fKC6pA/x+XTOVGWZyjpCjS9MsCIJAdYaFLR3jbO0YoyzVhD8UoTbbSnHSPy5aYzfq0cllPHJ2DQMTfvb1OadgV17a3EVNVuU//BrfNb5rYv8NcKEoiuMAgiDYgPuREv7/xb841Eo5ycq/7cf+X0W6Tc+Vi/LZ1+eMUXLm5SUQEUUOOJsOuwJxsp2tg042tI7xWZ2UKP/ybScOX5DTpmeQm6jDoJFsIKsyTHzbPsYf1knqcSdVp3FKTRoDzsAUKcvXt/ewtNTO7FzblMS+qiKFwQk/jQMu5uTZaB32xJI6SDr26+qHKE838/y3nczNS+DYihSOLk5iwhemNNXI7m4HH+wdYFqWlbNnZaFRymgYcNE85KYy3RxTXFtaYmdefgJFdiP+UAiZILCyPIUvGoZYXGznnV29sb2x0xfmvk+kPeiwK0AkKuIJhLHplbFpw6FRkmwgEo0yNz8RtULGxuYRxj0hNraMEImKmDRKTBpFXMLKsmnZ0jEWu7nv6BqnecBNmlXLgsJEFhQmsqF5hC8bh1lemoTLH6Zx0M3qmVlolQL+kMjTGztIMqjJSzLw+JettAy7WViYxFmzMnn08xZe3tLFFUflUZJiQCWXcXptJg5PcIo5DUiAwhOqU3nqEIEdQYBkk4a19UPI5QJOX5gvG4f5+api2kY8jLj95CboeHpjB9GoyA3LC/m2bYSecR8VaSb29zvZ1zvBDxfno1bI+MHiAjpGPHSPernjpHIGnAEmvEHWNw1zem0G0zLMNA66p5wrhUyQ6IQZFnZ1j7O/38mzGzv49fFlfNU0wl+3Sijx/CQDZ87IoHNUom5e8txWko0afryiCOMRTIhqsqzs75+gPE3SqD8UTNk15iXVpOGXx0kc/ySDiqIUI5/VDbCoKDG2X5XLDq7HPt0/wE9WFHP3R/Wx7jw3UQ8CPH3hDLrGvNj0KnQqOZ/tn0pT/KJhmHFPiG2dYzx81jQiURGLVolOKaNnzIdVq8B/BBOXUETk5clzAPDjZYWkWrQ0Dbq4+9RKbnl7L55gBL1Kzo+WFPLcNx0MuvycPSuT7ATdEVcqp01PR0TkkXOm8fBnzTQOukmzqMm0annk8xa2dowjCBLGZk6+kqe/bsekVfHylgO4EZFnNnZwx0nlrCizs73TwcLCRM6Znc2IO8TVL+3g1hPK8AQj1Pe7OP8ZSXjmlJp0eh2+uCLsgrk5MSrfoeELRXD5pz5+IA4IQ83MTaCh30n/hA+bXkV1pvVv/s13DYNOy4LcKB3j0nk+PFQKGb5gFIfHj0V/ZNrrPyO+a2KvOpDUAURRHBMEoeZ7Oqb/i+85FhQm8fSFM2gf8aJTyeka9caN8WZkW7Ef4tneMuzltvek39f1Ozm+Ko3p2RYyzGrkMjkKmUBttoXmIU9c1/fWzl5MWiW12ZYpxxAVRTRKOR0jHn60pIAXNnUiIElWWrRKvmoeYklxEkqFjNbh4Sl/v7PbwdctIywrtfNl0xCpZi2hcJR19YPY9EoyrFLhM+ELxdHq1tYPckJVGhfPz6FrzMvengl8gQh2k5qP9o7z9s5GbHoVP11ZTCQiTknYogij7iBalRyVXIZSISNBp+CaJQVc98qu2E302Ipk5HI5N721j5ZJ/vi5s7O5cWUxj3/Zws9WlnDvmnruPb2KBz9tomnIzfQsC1cuyuPav+6Ke821DUNct7QwjvM/I9vKqCfEI+tayErQMeoOcOXCPEQkkJRereTql3fEgGvv7e5jUZGkXPdt2ygf7u3nyfOno5AJgIhOreTCsZw4hbzqDInXbNEquXRBLh/t7cemV3FyTTqj7iDv7OzhxytKyEnU4wtG+OOXrehUCvITDQTDB3ALcp7+uh2nT6Jz/WH1NF6bdMJ7cVMnT15QS++4j62Tvt13fVRP15gk5Xv7iRUoZSJWnZJtHeNcs6SQh9c24Z3csd+wvIgkgzTWjUZFdnQ66Bn34fAFefEQs5PWYWkqdGJ1KiPuAKGISI/Dx6/frePmY0o4Z1Ymf93ajShKqmS1WVb84Qj9EwGOr0plfdNwjI2SatJg1au45q87STKoWVpi55mvpf1wZbqJ2mwbaoWMdKuG355cwZDLj1wQ8PjDPHSmJGDkD0dx+kL84q29XLYwj1ybjqtf2kEkCtcsyZ9yrRclG+gY9dDn8POLt/bxu9Mr+fGru/jVCWXY9Gq8wTDnz8nh5rcPatHLBJiZa+OJr6TJwuVH5dI64uHBtdI1lGRUc98ZVbSPeHH7wzyz8aBnQOuwi+WldtbVD8YKqSSDmoWFiTh8YXb3TDDsCvDDowto6HcyI8fG2vrBmHeDKMIb23vItukIRMQ4gOqBWN80wsNnVtE17iPZqCLBqOP5bzqY8IXwBsNx4FijWkH7iIdbjy9lb5+T9hEPVelmipINBMLRKdOH0lQjVp1qymseKUpSTZSk/nN33ga9nizRw4ryFN7c0RtXjKyemUUwHD2iLPA/M75rYpcJgmA9rGP/rn/7HxX+YDjGtdQo/1e+RUCih0zPtjHs9OALRWK84hk5Vm5cUUzeIXSRvX0H6T8Ob4gXN3XyZcMQD55VzStbu9ncPsbsXBtHF9vjZDEzrZIbVZJBQlj3HaL+tqo8hRyrlkXFSXy4t5+HzpQUqZ7Z2MGwK8CyUrtkPzrkYlaOLTZmP216OqdMT0erkLGpdZRpmRZUCjkTPsmV7YRpaXxeP8iNK0u4cG423kA4jjMtirC5fRSrXsVHe/r4xbGlNAy66HX4ePrrDkDyl777o3oeObuGFJMmzuEKpKLEolEiAhlWCaijUch49qIZtA17MGgUVKabeODT5pj2dVSUBFzuO72KBQVJ9Ix7uGJRPn/d0sXlC3PJSzTQNealYcA1ZTQM8Sh4q05JSYoRg0bBA2dWs7vbQW6iHrVSsvo0qBVM+MNTbh5fNUsI+2/bRsmwapEJAjqVAotOBQKsKLGzuCiJ/gk/Vp2KZKMKo0ZGbbaVn7+5lwUFiTj9IV7f1s0Fc7O5flkR+/snUMoEfIjcsLyIrjEPc/Ns9E34ufOjBgRB2p+nmDQIgmRqk2nV0j3uY2PrKDcsL2TUHWRpqZ3d3Q6Or0rjy8Zh9vc7+fFru3jorGn0OvwcVZTI7e/v56J5OQiCgEyALKsGnVLOzq5x+ib8LChMJBiO0OeY6kO+rWOM1TMz44Cm7kCYW97Zx2ULcnjivFpahz0MufyMeQMkGdTU9Tn5unmIP6yexqAzgFyAvCQ9fQ4/P1icj0mjJNWkYXFJEk5fiOYhNwMTfqZnWYhE4K6P6mOTr7xEHbccV8a9rzegVysoshv48YpiNjQNs7dngp+sKOaVrd2MekLUZJrZ2S195xINKmbnJXDn5Kh9wOnH5QuTZtWikst4a0cvoclR2y3HlvDR3gH0agWLi5MYdflZVZHC+7v7KU8z8dSrB6WVh10Bbnh1N9ctLeSP6w+uFRYWJmLWqrn1vToump+DgIAgQDAcZdwb4mdv7omtGF7Z2s3vTqtEEAS2H6Z4CcQ61kK7YYobY6HdgFatoiztYANx4L5x75pGHjxzGvesaWB+QSJ6lZzmITebJu8zh66wPB4vj55Tw10fNdA67GZOno1LF+SSeARMwr8yTAY9MzOk9dCXjUO4/REWFSWRYdUQikSxGb5fnfrvmrkeQHJ3e33y5zOAO7+fQ/qfi+0dY3zROEhZqplQVCTNrKEm04JC8Z+rK7y/bwJfMIwnECLBoI1xrw9EkknPqdP1FNoNeIMR7AY1uYdJnh6g8hwaZ8zI4Ffv1MVMY7rGvOzqdnDa9Axe29ZNToKW65YVcet7dfiCEX6yooj+CT+7ux0sL0umLNXIL97Zh06t4NjKNP6wril2MwPpBjbhDxOOCBTaDfzp3Oko5NIN5KHPmqlMN3N0cRLv7u7j1a1SB5igV3HNkgIWF9t5a2cvGoVkgrKsLJn7PmlkR5eDaZlmLj8qD08gwrRMM3/e0E51hoXP9g/Gvb+oCKPuAL86vpTrXz1I4zm2MoWdXQ6mz8+h5BBaYZrNSJrNyMIi6ed9vQ42tU8FKfaM+7hqUR6b2kcZcPhwByI8u7GDRUV2DGo5veM+SlON1PcfHOOdUJVKmkUriZVEopSmGHl4bTO7eiZQyAQuXZBL/YCTPd0TnDMni2g0esSiVK+SRrYquYwrFuZx7yeN7O2dYHFxEmfNyCQQFfnVO/voGPWSbFRz7dICrDol4Sjcf0YV27scBEIRji5KJN9uZMQdpCbTSseomzX7BlhRrmBZSTI/fHknt59UToJexepZWXy2fyDmD7+sNImHzprG2zt6JoVMlBjUkkjJK1u7cfnDHFuZyuw8G89u7CAYjpKboCNRr+QXx5by9NdtRKIix1amUt/vkiYTL+2IgeqWldrJnBRk0qvkLC9LQaeS4/QHSbeo0auVlKYYqT+ElmfTqyeLKidapZwPGiQVwgvmZuMLifQ6fDyzoZ0rF+dz9cs76XX4WF5q58wZmfRP+Pjx6/WxpFSeZuKc2Zk8+FkzwXBUMihRyYmIIqFIlN+eVEHTkJvSVFPcvvjrlhF+cWwpd35Yz5m1GVy5MB9fKELDgIsHPj2o0leVYUavUXBidTrhqMjLW7p45qIZ0kpmwMWlR+WSbFRz0XNbuWR+LpfMzyEQihxRMyIQjpJp03LR3Gy2do5zdIk95mHu8of5wyEMhQN4E8dhxi5//LKVP6yuoTTVOMXnPtOm49mNHTx4VjVr6wdjgM00s4bFxUnID+NsFiUb0SrlOP1hrntl1//H3lkHyFWe+/8z7j67s+7u2bgrIQkBgrtTtEApBVooLRRKKV5osVLc3UMCBAgkxGWTrGTdfXd2x/33x5lMdrKp3ntL7/3x/S+TmdmZM+ec532f5yu8+qOZPPBZQ2y88VltPzOzTfzmhDIKo7tsjUbNokIVNr2CMU8AtVzg3diM33/mukajYX6+hiyzCl8ggssfJBiKkKRTIP8frin/qPPcCyKRaAewJPrQyf/XIlRbBp28tLWdhQUJ/PL9A4y4/ExJN/LjxXnkJWj+ZUeivwW310fzkBuXP4RVKyfvv9HAYHjcSf2Al5ZBYQeXYVHjD4Y40G2Py1c/hPIjTGxaBpx0j3lQSMVUpOrJT9TGjDYUUjGFSToe+rwx7jWNA04hunJYmPn+8t39sRvu79bWU2jT8uDpVTQOOLjwucNJTBvqB7hheWGssCcblCwtssUlR60otZFmUvN0lKC0s32UfV12UoyHuQbDLj/v7u7migU5KGRiPtnXx7QsM0uLk/jxkjz2do5h1shp6HeQm6DFFyUYZVk0mDSySU5tY94gKUYVtxxXzLDTj1wipsvuZmaWmd1ddrrGvJhVUtYe6CcUjrCwMBGzSopYLEIkElGRauTbpqG490wzqWgbduLxh5maaebJja34Q2FGXAEunpeFRaNgYUECc3KttAy6mJ9vRaeUIJeKefG7dn66vIA3dnSxJ2qiEgxH6Bx1c8ncbI4rS8LtD9My5CQ3QcXlC3J4cgIR68eLc1HKJDxxXjV/+aaFTVGC1Fs7u9EqpNT3Ouga9XDt0jwc3iBfHRxiXp6V7W0jDI77uGR+Nn/5toWrFuXx6w9qqe0dR6eQcv0xBZw1I51hV4CtbSN02T3c8MYeHjtnKl/U93Ow34kkqntuGXRx89v7mJ5lYs2UNCKRMGKxmF9/cHgU9MHeHs6ekUGaSYVGLmHDwSHSTSqe+aaFJIMSiVjEY182s7gogQ0Ng3GueJ/XDbCyLIkrF+SgV8t4Y0cXTm+Q82Zn8kX9EF2jbn6xqhiPX/CiN6llPP1tG+lm1SQS1lcNg/z+lDK+bRrmsoW53PhWTayAq+RSwZfeG+Qny/Kp6Rrjs9p+DvSM447mM1y2IIcP9vbQFc0akElE3La6hNqeMRqO0PtHIoLneW6Chvp+B2fOTOexDc0cW5aEQirBGwhTkqznR/Oz0SokDDh8jHn8/GJlEc0DrjhyY1GSjkfPnMKI20+ORc1v15TSM+ablIqXl6jly4ZBzpiaxsXzspGKwO4JsKfLziXzsvnjl4cLu1kjO+riwBMIIZUIM/Wd7aOxXIWZ2cJIwhMIcdNbe7nzxDK8gTBSibBQP9o8e26ehSfOm8ob2zvoG/Mx6PTFGb0AbG0dpWPUHSvsICw6/p5+/ftEukW413iDISHJ8t+Af7jXHC3k/6eK+UR0DLtZVmzjjg9rGfMEuOnYQvZ1j3HLe/uYnmXmgtmZFNtUaFQqREdLW0BoJdX3jjPk9NE/7kMmEZFmUjHs9KJXKegcdpKdoCUUgbX7+zjY52B6tpmOETeN/Q5uP6GU6gxTLKf8X0XLwDj7ehxc//qeGFmnKt3Iz1cWHrXNeyR2tI1w76f1bGsbRSYRccncbO4/rYKmARduf5DsBA1/7RM29DkoTzWikksm2ZD2jfv4+uAgpiPaZIFQhMFxb8xZb3VFShzDGAQJ3PXHFMQ9trPDzvwj5Cn7u8cwqmVc/epunrtwOi1DLh7d0Mgn+3o5bZpAHjtUwI8pSeSU6lQ+qunlZ8cWcvcEaUqKQYkvEObtnV1csSiXn765F6c3yMVzs/nZWzWx550/K5Om6Az3uc1t3HZcCe/s7uLOE0q4anEuDf2O2BhgVVkSOVYNB3rGMWtk/H5dPTeuKGTc7cdmUJJhViMXi+lz+AiGwiwosLKhrp+Z2RY+2NvDzSsKybKquS26WJidY+aiuVlIxGI+rOnlvT3dJBuUnDo1jV99cICrF+Xx6NlVdI14yEvUIhOLcPlDjLj8saJ+CGq5lK1tI1w0J4t3dnXHitFntf2cPSODhj4HdrefW48r5o4P66iNxmE6fEF+81Etfz5vKh0jnlhb2OELMeDw0hB1Izt1ahof1/SSZlKRl6jlw7091HSNcfOKQvrGJrfOv2wQeAUdo25u/6CWqxfnsb93nH0TjF6yLBrWHeif9Nphl5+sBA03v3145vzgZwe5YmEOG+oHWH+gn0vmZ/OnL5u4ZVUxyXrFUWeyGWY1X9QN0j4ihOAcKuqLChNw+YL8ZgKf5LRpaVSkCaTMgXEfi4sSEYlEseMIwnn+3u5uqtKMNA+5Jv09mVSMQirmhmMK+Liml42NQ4Kc66JpjLkDaJVSFBIJL23r4PXtnTx57lSaBpw88XW8m159n4MRt5+iRB2GKEFLTJiHz6zi/vUN1PcJ461lJTae3tjCceXJvL+nhzl5FqZmmrFo5XTZvSTqFHyyX7BozU/UESGCXCKO6d9BMND5yzetfFDTy1kzMjBr5BQl6ShL0dE37kMiFrG/Z5xxr6Cq6Rr14AmEaBscZ8wbJhgOk6SVk2rRIhKJWFiQwKxMI3ZfkJoJHbyJCB/FZOhI7GgbYVvbCC0DTqZmmSiy6ZmS+V8nx/2rUMgkKGT/vs7v/90h8j8JhVTMiFuIQz11ahrv7u6mcUBg4tr0Sra2jhAKm7BoAmgUMlKOIjP7sn6AzlE3D6w/GNNe5tu03L66hBve3Ms9J5czGNUIH2Kkb2kd4dyZGXgDYe78sI4/nFlBzn9h576va5SxKHt74vm/p9NO+5A71qb8a+gfc/Ha9o6YZj0QivDExhaKU/ScWJmEVCqcMi0DDlZXJPNRzWF3qKXFiexoH+WbxiGWlSTG3MzyErWcOjWNvjHBLEQjl07KB1fJpRQmafmueQSdUhI7fhMRDP39Rcm0TDNjniAL8q2s3d/Ha9s7Obk6lTyblq8aBuN25Z/VDvCLVUX4d3fz2rZOblxeiNsfQqMQLsBMixqVXMKLWzq4aE42RUlaLnp2R5yE5YUt7dx1Yhmbo4EgX9QPoJBKOP/ZHbz6o5k8dvYUese8qOUS1HIJLl+Qx79uZma2hdOmppNv0/Le7m7++FUzkQgsKUrgqkW5hCMCaei8WZn4g2GuXJTLmCdA84CL8jSBt6BRSHj480bybbrYbtPuDvC7T+r5ybICHtnQyH2nVrDLYWdZcQIjriAREXGpWofQOuSiLEWPXiWLK0YgEKEunZ9NKAwuX2jSvBSEDPcpmSZufHMvepWU65cV0DHi5oSqFKZlmShN1pNt0fBhTQ+hcITLFuayrXWY/nEvqabJCo8Ms2Djekc0i72my86sbIH4dwi7O+3Mz7PGfM0PIUmvnKS0OPR7z8618Mm+PiIR4dy+48NaXrh4OnZ3gFtWFrGpeZivDw6ilIk5a0Y6uzqE0ZFsQtt4SoaJhybkMQC8vbOLa5bkM+jwsa1tBIVUfNTztX9ccAKcn29lY+Ng7FySikWsKkvmtOo0WoZcmDVyHj+3mkGHj5+8todrlubzs7dqeOTMKbyzq4viZB0f7esh06LB5Z98rfiCYXZ32YmIwpSnmbHotSQ7glwyN5uWIRcHesZoH3Jyx4ml+INhNjYO8nl9P78/pZyiJAMJOhUauZj6vnE2NQ/z9q5ukvRKHj6zite2dTDs8nPm9HTSjKqYH/0LUSOm3AQNv1hZREWKjmlL8vH6A3xWN8A5T2/F7Q/x+mUzeWtXDzvaR5mSbmRBQQL+cITsqB+HQiHDppCRYvQxJcPI7gnmPOWpejItf/setr/bzo1v7o25XL61qzvW6fhb5jAHe8doHfaQoJURQUQoEiFJryTD8v239f9Z/FDYo8hNUOMJCK25FKOSt3Y6UcslXH9MAY9uaGLE5ceslvPzlYVUZxgJhsJxO+v+MS+vbe/AHwzHFaXGfic7O+z8ZFkeX9QPUJKsjxX1Q3hzZxcXzc3iia9bGHQGyEn8175DXc8Y3zQOk2VVH3UX5PAF+XvNgEFngI1HtL9AyDduHnCSbFBRnKylKsPMhXOymJFtZl/XGClGFd12D29FGc/dox5+vbqEuz6u44zp6XG7YbNGzjVL8mIOXgqpmHyblhyrmhlZFubmWfmibiDOs1shFU9KnpqdayE52poNhSOkm1X8eEkeFz23jUfOmsJTG1vIS9SQqJVxTGkGl01o7ceOiSfAFQty2d8zhkIqxh8M88D6g9x/WgWvbO2MtdLf2tnFSVNSKU3VT3LNCoQP38Dd/lB0phtkT+cYayqTMGvkePwhDCoZgVCIv1wwDY8/ROOAg/peR5xJzYb6QUqSDRxfmYQ/GOG9PT08t7kNmUTMlYtymJph5MdLcmnodXD7h7VcsTCHZ6Kkv0MIhiP4QyGGnX5CkQh7OkY5d3o6m5uH8fqDzCuwMifXElf8cqwaTq5Oje3EJyIUiSASiShM0iIRiyYtykBgWffa3bj9Ia5alMtwtI26r3sMUTQt7p5PD9vr1vc5+O2aMtRyCVl6JbkJmpgkUiEV86P5Ofzq/f0xwuW3TUP8fEURYx4/tb0OVDIJU9KNpJvV9Du81PU6UEjF/HhxHi5fAN1RTFCsWnlc6toh7O2088BnwlhpdUUyT543FbvLz+0fHMAXDHP5whxmZZtjrnWh8OSCHY6ATCJk0YcjcM+n9dxxQsmk5y0rsbFufx+7O+3cEo1blYhFLClORCkV8er2zpjdrkgE95xczj0nlXPRCzvwBsIEQmEkYhElyXo2Nw/TPeplWbGN9RM4IiqZhHSTivOf2c4vVhZRmmJCLBZRkmokQScnzaRidq6F2z84wEtbhXS8s2akIxGJ6BrxMuTwc6BnnFA4wpqqVGbnWmkdcpFhViETi7hwTiZj3iDtwy6OttZuGXKxt2sMrUJKolEwJLr13f24/SHuPaWcv3zbFvu8W1pGWHegn6sWCeZI1ZmHLWKT9ApuXVXMF3UDbG0dYUa2iWXFtphc7a+hacAVK+qH8OIWYcyan3T013i9Xr5pHqYkSc/6OsF4KhAKs7oimQvnZMV9rv8N+KGwR5FoUJPkElqNh1i1a6pSefqbVsY9AX68JA9fIMym5mHkUgn+UJiSFGPs9WPeAGq5lIP99knv3TvmYUq6kS/qBo9q8iIWiQS/ca0CreJfb9d0jLrxBEJ0jng4psQW58YmjmZ6q/5GO2hX+yjDLh+lKXoGGuJ3QTKJiEc3NBEKR1iQb+WW44pJNclp6IP+cS/v7u6OS7BSy6VUpqr58wVT+d3a+rhd7ojLTzgc4aQpyYgQU5lh5OHPD9I6dEjeIuHW44p55ItGNjUPk2PVcMPyQjJMSn6xsojtbSPMyDYzLdMMRLjjhBL8wQjJBgUPf97AlYvyaB5wkaBVcMqUNHQqKdtahpmbZ43dNA8h3axGLBKxsiwJnULE7i4HBrUMXzA8aT7+7u5ubllVFFfY5RIxwQna7yVFiTwaTUrTKKRoVApyVQq2tgzzYU0vLYNO5uRZqUg1MCvHzG8/mewlv7l5mMWFVvZ0jsVm5ILP/UEeOK2S8hQdO6K7Zrs7gEUrj8ubB0FHvao8mRGnn7l5VvzhMKNuP2/s6GR5qY1rl+ZxwZwsRl1+dEoJoTDc8MZeHjunepI96/GVyRQna9ErJQy7AvxiZTHXv74nNtY5sTIFs0ZGoS2RYBjMajn1/Y6YV0COVcv2tsmGJ+/v7UEiEqGSi7liYS49dg+hSASpWMzr2zsoTTXECnskIrifvXbZLNz+EFKJiJ++sZfeMS/HlSezrNhGKBwRwmWcAXRKKQlaRaxDIxUL/gR3fVyLQSUjHIlQkqxndUUyIpFg5TvqDvD8d23My7Pyh88bGYweg/vWHeSuNaXccEwBXaMeVHIJiTpFnD99gU3L7Bwzl76wg8fOqSYvQctbO7u58dhCXtnagd3t54zp6VSlG6OSTDm5CRqmZxnRKqTk2fS8+F1b3PkZicDdn9Tz8iUzuGJhDpsah3h2UysXz80mSacgGIrw/t4eLluQw2nT0vi6YZCcBA2XL8jhvnUC4e6F79qZl2eNkWYT9Gr8wQh3flIX5y3x6rZOHj6jEr1Kyk9e2xM77mfOSGdGlhmnN0DXqIhdHaNsiMrXfr6ykAzL5G7LnFwLO9tHKUvR43R5GXT4YrK5JIMybhECwkKgc9TD69s7ueeU8liAi0WnwqJTMTXThNcfRCGTIBb//THl0RZegVBkUorlRNQPeNjcNIheKeOJrw/zUj7YK9hd5yWo0Kv/Ne+Q7wM/FPYJKEkxkqSV02730W33YNbK6bZ7uGReNu/tPjx3fH9PDzcdW4hSIibHJrR2bDoF4x4/8/OtvLy1I+59y1IMfFTTzZKiRDQKSdwNB4QIzvUH+rjt+BLy/koq0T8CuUTMjvZRTCoZJ09JJRKBz+r6STYouX5ZAakGJSnGo8ssdrQNc/Pb+2kedHLb6mL2dNpju5vpWSYGxn2xGePGxiHOHXazvDSJqrQgqSY1jQNOese8yCQirliYQ6pRSV6SgUDP2FFNJMY8Ae49uZy3dvXwi3f3xx4vTdGTZdVgVUv59fEljLgCqGQSChKUKJVKbDoZxcl67v20nj9+2cSp1WmsqUqhdchF/7iP82dn8eiGpthN6/O6Ae44oQStUkZ5qoHqDCNv7+qmtnecC+dkkWpUceu7+zipOo0Xv2vjlUtncPea8r9qcJGfKOSTH+x3kqhTcPsJpfiCIW4/voREvYIP9/bgC4aZmW0m2yq0DPd2jnL964dvlp/VDXD+rEwO9o8zNy9hkilJWaoerVIaN+Y4hI0HB9EoxCQbhJvMJ/t6uXJRbly+eV6ilkSdghyrmoc/b6J50EnjgJNzZ2aQblZT3+ugts/Bx/t6STEouWZJPg990cC4N8hHNb3ccEwh29pGaBtysaIsielZJkqSdXj8YVz+MO3Dozx4eiXj0ZS2PZ12wpEIA+NeMkwqZDIxzfsO+/Z7/EG0isk7aJ1SyqDDx3ctYxxbmhRHxpSKRTx30XQUUjGf7u8jw6LmR/NzuPPDA1y+KI9kg4LcBA1dox52to/SNOBkxOXnhuUFpJqU+IIRrlqci8MbQCmVkJOg4dMDfVw0NwubXsmz37Zy7uws7l13+LgV2nScOzOTrlE3PzkmP25Gf7DfyX3rGrh1VTHlVj33n1bJX75tpabLzvQsMxfPy+L93d3cf1oleVYND5xWQdOgC4VUxOPnTMEXCvPhnm5+/2kDT5xbzYjLz01v1dAf9Te/+6TyowbUlKToaY+S9FZVpAhz6mEXdl+Q4hQ9OztGeWpjC9lWoaCnGJVc8dJOfEHhvUQiJnXpBpx+dhxhD31KdSojrgBf1g9yxvR0IZxo2E3XiIfXth2WyZ09I4PiZB2jrgAzskyIRfD0+dPY3zOGyxeioW+cOblWHvzsIAsKElDJJNh0ipi5UPAosbiHPuf29lE6RjyTktlEIhGqo5w/fw05Cdq4HHqA48qTsOn/usTMFwyzujKFbxsnj3A21A+wpirlh8L+vxlmvRqzXo1cImLI6cemV6BTSifNHR/7qhmZRIQ3unM3qOXceGwRG+oHWFGWxPoDfahkEi6dn01egjY2u+0a9fDo2VP4sn6AliEXiwsTMallLC9JJC9R9V8iWKSbhR15llXDN42DzM2zcOrUVCwaORatlAzLX58v7e4Yi4WoPLD+IOfPziRBqyDVpOKTfX0TnKMEeKLEuNIom/7p86fROepGIhahlklwRzXU6UYFZ05P5751h2eSQqazEZlMxtRMA4+fU83eLjsWrYJCmw6LWkaO7ejttpoeF5e+cHjO/cymNiRiMWdOS2XYHaDX7o3biZw6NY339/TEhWjcuaYUg1JG37iPR79s5JL5OQw4fMilYr46OMTW1lGuXJgTl6YGUJ5qYFPzEDcfW4ROKUUhE/PEV82UpBrwB8M4vEEumJPFdUvy0CikmLVKAsEwjQOuOA0/wOs7OrlobhblaQYKk7QxklmmRc28PCsOT5AMi5rdnfa411VnGHlnVw+5CVryErU0DTj5YG8PvzyumAgRzGoFqSYlLl+I5kEnvWPCebvuQD8Xz80i26JmQ/1g7Pe0uwP8+Lic7m8AAQAASURBVNXdXL+sgPvXN/Da9k6mZppYVZZEMCLsgDUKCXu7xhCLRDQNulDKpChlEvZ02FErpCwsSMDlDXLj2/u4amEucqmYaVmm2Oy7Z8xLToImzkhEKhZx2tQ0mgeFa8DpDXLjsYW8v6ebBK2CY0uTuPuTOi5bkENpioHGAQcf1fRwxeI8nt/czrdNQ9y8opBTqtP5rnmIEZefyxbkkGZS8OHePt7f28MxxYIX+5bWES5fkM0VC3IJRcJ8UTvIz1cWT7LJbeh3sKoiGRHCqGCiEsSoluHyhfiyYZDCJB15VhU/WZqHOxjCrJZTnGxgZrYlRqxNMKiozDDRM+pm7YG+mHHTxXOzGPcG+NELO2MktK5RDze9VcMT5wqGQYc6Xza9gulZJq5+5bCXfbZVzYOnV3H7c9tx+YKcMT0Ds0aGRCQiN0HD1a/sjhV1EMhtamk82VcuEVORZoztvKszTPiDYX7z0WFudHmqgUvnZXHdBO07wBs7Onn83KmY1TLs7gCtwy7+9GUzI1Gf+ZuOLeTpjS3ctrqYJze2oFNIefycan5zYhm3vLuPra0jnFCZEteZyE/UxkaHE/MCGnrH6ItyEnKtGlKMyr/r1tZjd6NVSHjmgmm8tLWd2h4Hy4oTWVyUQOHfmK/b9AqaB8bJTZysfspL1KKR/+8qlf+7Pu2/EaWpRvrtTn5zQim1R4mi9AVDjLoDdAx7Yi350lQDqSYV3aNufjQ/G4lIhFktxekLc+6sTLyBECaNwL6dFmVo/lcZ8BORl6jn2iV57Oseo18kSKvSTSrybH+fjNcxcrgYuv0hnvha2AU8fs4U2o5g8CbqFLHdKAgM1Ds/qo3NxKdlmrhpRSENPWMUphiYl2cFRLy5oxOTWs5lC3LINqn4YE83wy4/6WY1F89Ox6BWoJD/9ZX5vq5RDvY7Jvkvv7u7i1OmpDAj28IzR7Dp083q2Nz/EB5Yf5CTp6Ty6rZOrlmSh0YuIRyOsKIsiU/397O7086OthHuP62Sz2r72dE+ypxcC9lWDb/9pI6nv2njiXOq6XN4qc4yc8/a+thu67iyZM6fk8muznFsejlmjYI0o5IHT6vArFUQiYSRiCV4/AEGxn1c/Px23rp8Fr1jgo2vTCKif8xLbc8Y58zMoKFvPJZznahTUJKqp3PUwxMbmzlregarK5KJRAQrWp1CSp/DR6/dy8F+B2/u7OLaJfnc82k9YhH02L3U9Tl4e9fh42HWyDm+MoWiJC23HVdMz5iHN3Z0xlzExCL4zYllFCfp+Nlbe2PjEpEIHj6jClFECFg556WdPHBqJY2DTrrsHoqS9Fw+P4cno65/+7rsPHFuNRsbh1BKxVi0cn7zYS09Y170Sin3n1ZJ65CLM6ZnIJOI6BkVxkm3RGezh86r17cf5j0EQhFueXcfTl8Qs0ZOol6JVmFlXp4Fs0ZO16iH3AQt/eM+Oke89I/3sLVthJ8tK8QXCsXc5CZCJROzq8POhroBLp2fTeOAkwKbFpcvRDAcQSwSIUYUDTeJf+3R1DIahUCYPISiZD3ddm8csxwE3wa7289DZ1Txm49qGXT4uGB2Fk9MMI8BaB1y0zHsZswTIBIh5vcPcPdJZTxx3lTW7e9jepYZg1qGwxtg2BNCM+bCYhBIYGlGBWdNT+dgvyBvnJdv4dEjcur3dY9xtM11MGqjHAqH6B718ocNjYx7hO837hEyFP50djW/fG9/bDxk9wRYWZJAqnE6feM+jitLoiLNwMaDg+QkaNEopDz2VRMnVCaTFSX37u+y89zmNna1j3L3yeUc6HWwqWWEnAQN2SblpIV/U/84rcNuPtrbzRkzMnkvGgf9owXZ5CVqj9oNmYgsqxa7WwjHybZqYhbWRrWMM6dlHJUs/Z+MHwr734DNqGW+XIxJI+cv37TGkeJOqU5jQ/0A+Ues8IxqueDkdRSo5Id34/+dBX0iqjJMFCfrIRxCofjHNZPTssxxOeAAy0tsJBnk/HJ1Ma9u7WBzyzBlKQYunZ9NxQQd6qamoTii2472UT6vHWBRoWB2UZluojLdxMqyJFQyEXZ3kN+tb4yza/316hLOmjY5ZvUQWgYFklmqcfIFlqhToJAJx/OQneyhDsvRmMl2dwCNQoonEOIPXzTyyJlVvLWzk4JELRlmYZc87g1y2Ys7eefKWVi0cj6r7Y8bsWzvGKUixcC96xpiNw2RCKZlm7joue1cuzSfD/Z2Y1DJOaEymU3Nw2w8OES+TcuyEht13WMcU5bEy5fMpNvuRS2XYlLLUEjFHPA4eHt3N8991855szK5erGWQYeffJuWcDjM8hIbb+7siu26T5mSwojbz0tb2olEhHHGmqpUTp+WTuOAg0yLmlk5Zl7c0k5eoo4EnYKuUUECd/KUVP7ybSvPb25jZraZc2dlxBz4QCCF/enLJn56TEGsqIMw/33ki0buPLGUxgEXl8zL5plNreyc0Bm5cmEOD51ewag7wLDLzwvftdMy6OKYElucVGzcG2R9bT81nXYORnfIaSYVNx9bGJdZMCPbzNp9vZw+LZ3BcaE4On1BpmWamJtn5aUt7byxo5MzpqcTCIV5M7qg+/HiXDLMalKNSqrTjfhCIQxKKSdXp/LGjsOLHKlYhFIm4dP9fUjFIqZlmbh+WT6DTj/PbBJSCpcUJZCo/8euq51tIzT0OzCp5dywvIAv6wfZ0jLMceXJk56rkUvQKmUsKrKRn6iNjoJEPPT5wUnP9YfCLCpI4MsJPBi5RExpio5AKMLJ1ans6bRz/Zt7CIeFxdvDZ1RhHvcz6PJj1SrIsii55+RyBhw+tArppMUyCIs6i0Yep6IoT9Uz7PIx7g6gVkhjRf0QvIEwB3rGYkV9Vo4Zs1qKQiHHqJahVkgpsmkxaaTMyrFQ02VnV4edu04soyxFT3qUgd5t9/DWrm5ev3wmf97YyucT4m1/u6aMZJMGVXQXvat9hLo+B53Dbs6blcUVL++KcUTe3d3DmqoUzpuVQeeQk3TrX/cjqcow0TPi4cHThUVmIBQmN0HLtKz/XcQ5+KGw/12o1WpmZKt58rypvLy1neYBF8tKEhlx+Rl0+Eg/ilTn+4bQzv/nWvr5iRp+ekwBT3zdjDcQ4vjKFJaX2DCqVczIVlFo09A35sOgkZKkj5d/bGudTIza3zNGQ/84armUqgxhEZATNfnZ09k7yYP9gc8OkmFRY1TJmHqUC6lz1INWKWPE5YtjZUvEIq5enBeTyqSb1Jw7KxO7y8+O9lHyE7WTtLcL8q0xyZYvGCYQijDg8BMIOXjkTEG94Ixa0db3OtjbNTYpxMaolGHWyukZOzyimZltZn1tPwsKEvi4ppfmQSd3nFDCc5vbYjvgQaeP2t5xzp6RwXfNwywsSODlrR3U9TqYnWPmpGpBg34Ij25o4qZjC8myqLjhjb0MOHzMyjHz5/On0jLoQiQCpUzCdRMS6w70jJOboKUyqqu++dhCtEop52/fTmO/k6sX53HPp/WcWJXCfesbYjf1ra0jrCqfTBsedHhxH0VSNejw0TnqIVEnxxcMxxV1gGc3t3H78SV82SB4racYlcilYtqGJ2u4WwadJOgVscLeNephyOVHIhahlIqpyjBSnqJjxOVnQ/0A2VYNhmgs79LixDiOwQvftXPR3KyYlfBr2zt5/Jxqhpx+2ofdKGUSZBIRJ1SmIJeI+WBvD2kmQVHxxFfCDvmU6lSyLWpECIY5J1SmsKI0iUyzEptBjdsfxOkNYtLIkR1lkV7TOcqr2zt4a+dhxcOP5uewrXUImy6LqxfnxhLixCKienphwXDIu/y75iFWV6Tw7u7D76GWC6O2a5bkoVfKWF/bT6ZFzW9PLKN1yM0fvmiidcjFnFwLNy0v4t519Yy4/PzukzounJPJze/sx6ZXcNeaMuZkGZHKzHxR38+8PGscWTTdpIII3HpcMR/V9FLTZWdurpVV5Ulc/coubHolt59QhlImjrMulopFlKYYqEg14AoEuXVlEQPOADXdPbSPuHhnVzcrSpM4pthGVaaJslQDZ8/MnHT8Bhw+cqxquke9cUUd4Pfr6qlKN1KaaqCma5SfvVVDS/T6TDOr44ifAB/W9HLq1DS6x71/s7ADpJhVpJhVTMn4/jTv/x34obD/g5ibZ8Wmk7OtTbhgM0xq/nBWFcUpR58F/29DSYqRXIuKBflWQuEIaSYFtmjrblf7CI0DTiJAfoJ2UmGflWth0xG64eJkPW/v6qJz1I1CKqY4xUDbkIOuaBvyrStmsbaml79sFlqJl8zNxKKRIwLaBh1kHZExHwxFEIvgyW9buWhuNhq5BH9ImAFPtKacmmVGIhZh0crwh8I88kUjP19ZxJs7OmkddrGoMJFCmy4WqCKXiEkzKXn0rCkkaOVkmJU8fm41O9tHyTCrefyrZs6akcHOttHY4iBBq2BmjplQOMziwsTYrDJBq2Bf9xjTMk18ur+PuXkWHN5QrKgfgt0dQCoRsbluGLvbH2PZb28bJfEo9r1v7OikIs0YY2FvaRlh/YF+zpyRxuC4nz6Hl0JbvKXnjjbBV3tBvhWZWETvmJebVxRGPb/9/HxFEQqpeNJOTSmTTMoIX1CQSG6CdtLjK8qS6Rvzkp+o5WD/5GLtDYQRicQsKkzgmW/bOGlKKl831HNcRfIkZvTcPCvPbmqLe2zY5ednywtw+UNsbhrmk/39VKQbWbu/j62tIywsFLy324+QNoHgGjcr28yHNb2cOyuTul4Hd31cF/sNBcllLltaRzipOo0hh5dhp58fL8ln3BMgJ0HDE1+3snZ/L4sKEzl7RjqJWgU5Nh17O0d5dWsHWqWMRJ2CZSW22KL1EPrGfXFFHeD5zW08ed5ULnp+B+kmFXetKUUlk5CoU5JqkJNqjn8Pq0bG3DwLBpWMrw8Okm3RsLg4kVve3cfJU1K5dkkel8zPRiYW0Tfu46a39sW+3+bmYdz+UEwKV9fnwKZXxY5rx7ALlUyCQioh06xmWXEiuYladraPUJqsZ3GRjb5xD+sO9GNUybjp2EJCYbj8pV2A0LHMsSr55apibv+wNjqmgKsW5/LoF40sLExgZZmNHe12fvtxHb5gGKNaxrVL8nnos4NIJSKq/oZhjFEtx6CSHZXEOu4J4gkIC83GfmesqAOTbGoBJCIRErEIueR/rzX4P4sfCvs/gTybnjSjimmZZjRyCal/x+zlfwN2tY/QOerBqJKRZVHFdteHsKVliOte20P/uFBUrFo5j541hdm51thz5uRY2JJnYVOTUNynZwnvIbBSRfxubT2/PK6Itfv7eSQqmdMppNx3WgUDTh9nTMvgm6YhznhqC2KRiIvmZrGizEYwFKE608y3jYPIJCJGnX4WFCTEIk3FIrBqFTx/0XSCwWDMPOfQd5iVY+HZzW3cs7ae06alcvvxJfSO+7j5bcGjWy4Rc/sJJYy5gxTYNBQmGdjTMcpP39jLoMNHVVQn/eTGZq5bli/YZ0Y1xF/V9aGQy7h6US7BcJiNB4doHHCypioVlz+ETiHF7g6gkIkndQxAuNnkR9n1h3BIA38kbHrFpHlwfd84PXYvD33WSMuQi+UlNlaUJcUWLKWpBmx6BQa1ls5hN7/9pC7WNq3OMLGy1IZeNZnP8P7ubh45cwq/W1tP75iHJUWJXDIvm02NQ/zhzCk8/Hkjg04vK0qTMailsYVAUbJuUqzq3DwLH9f0sLl5mIfPqGLY5eOJc6fSOODkuqX5PPNtK8FwhIvmZpFiUMaNukQimJNjZlvbKH+Mzn93dQgGQJcvzOWhzw7y9DetPHBaBfu6J2vvkw1KBp0+pGIRmWY17+3pifsNhI6bnyGnj+c3twHQPuzmuIpkipP1/OWbNj7eL6gSPtjbw/raPn67pgyHP8g3jUN4g2HW7eoiJ0GLUSNHIxNjmzAmch3FYKky3YDTJ2Spbzw4yK4OO4sLE/jl6mJyEiarYfKTDIjFItKNahYVJvDHDU3c9p6gIPn9pw3olDJKUnRsqB/CpJZNOsf2dNq5Zkke62v7KUvVEyHCVYtymZpp4omvmrnz43oUUjE3HlvAzGwLuYlaVpba2NIyTG3vGH/5ppXKdCPnzMzA6w+xdn8Pl87PwqZXMT/PQm6iAZ1MQnHyLDpG3HSMevhobw+NA072dI1Rkqzn1x8ciC0e7e4AT3zdzJopqbyzu5uVZcl/NVlNJRUzO9dKTsLkjltVuhGdXMqX9f14j3DSdPuCZJrVtI8cXuydPSMdGSJKbP953dX/KfxQ2P9JKBUyCpK+3+Sg/y58Wd/Pda/vid3wL5idyZkz0imeYADxRd1ArKgDDDn9fFTTG1fYp2aZufP4UvZ2jzHs9LO3y85fvm3l4rlZbKjrZ2PjEN12X5ycyeELcvsHtTx13lT2dNrjPM0f+6qZZIOST/f38MvVpdzy7n48/iAPnzmFvjEPOVYtm5qGqEw3sKYqlQ9retndaWdBnpVZOWY8wTB9Y15mZBl5/qIZfN0wyJQMI+c9sx2rVs6l83MQiQQ2rk2jYHvnCGEMbGkZxaqVU51hYt2BPvZ02vndSeVsbx3hvnUNQqKYWU1ZqoHCJD2uQJhgOEJ1hok1VakkaOWIRSIGnT6uXJTLvesakElEnD0zg+eixQOEhU+P3cvxFSlc/tJh0xxPIIRcKiZJr6AvesxlEhHnzMzkJ6/vifvtzpmZyY9e2BnTkr+5s4sVpTbm5VloHnRxzswMPqnp4eN9fZxSncZx5cm8uk0wI9nVMcqxpTZ8wRALCqwxQyKJWMSaKanc9fEBLpqbQ5pJzcC4B71SSl2/A7lMKAIef5hBhxdPMIxaLrS1tTIx951awYtbOjjY72BOrpU0sypWlL9uHGRT4xC9417uPKGU71qGOH16OhKxiE1Ng9x+QhmXLcjm9e1dWDVyrltWgEEl45lN8WRItz8UsxQdcfmRiMXoFNI4XoVCKuaU6jSe+baVqxbnIpeIGToiBwCEnas2ugADwRUuzaRmS8sQ6iP8JLyBMO0jblKNKra3jcQ8zHe2j1LfO85fLpwWV9gzzOrYQkciFnHjsYVsbR3m5rdrKE7Wc9vqEh5Yf5CvDg5ypTOX3KgzciQSoa53nAGHD4NKhkUjpSxVzw1v1sS8Cw7hgz3dpBhyeHVrB79YVTTp++mVAo8kSa/kFyuLueXdfSwuTOC93d3s6Bjl5hWFpJvUqOWC02ND3zgPfHaQG5cXEQqHefSsKRzsd3Lre/vRKqRcviCHHKuG05/cwuycWbyxrYOWYRdLixLZ0jrCmzs6UUwIN2kZck7qCA04fBjUMqwaBSrZX+cZJegV2N1+ZBJ4+Mwqfre2js4RD3Nyzfz0mEJW/XEToXCEP541JS5R8u619Tx53lQOdAt+/PPyrRQn6VDKJSiV/3P55/9p+KGw/3+K+r5x7vq4Po788vx37czKtcQV9kOxoxPRNOAkEAgim5AgNuYL4vQF6Rv3sLAggYvmZuHyhegcdbOpeXiSgQoITOBxbyDOSOcQPq/t59fHl9I37ovlMl/x0k5uXVnE0qJE1kxJQSqCK1/eTUuUwfpd8zCrypI4Z0YaBpWMm98WmLnnzMpg3BvAHwrTM+blT9FwC71SygsXz8CiUfDOrm6OLU3C5Qty8pRU5uWauO2DOsZ9AS6al4VULI46ygX49XsHeOr8asIReH17Jy1DLoqSdNz2/gHaht0kG5TcuaaMFy6eTv+Yl+UlNirSDLRH/y9Rp0AkEmx0lxUnxs0QI2F47Nxq9naOYXcHSNAqSDYqmZ1zeNxxUlUKDl9wku//utp+Xr5kJiLg2td2xwxWXtjSzoVzsuIiaJ3R3+vy+dmcNjWdMY+fbKuWW96poW/cz+/WHjbO+f3J5czIMnPvugYunZeNSi7B7vIzPdtMpkUoYBaNnO9aR7l0fhb7usZ5b08P7+2Z0IqOCKzxSAQe/LyREyrj8wCC4TAzssyEQhGGXH5ue28/vz+lHNlRDEkOkc9LkvUYVRJyEzRCRK9fWBiVJOsZHPdyybxsdraPoMs0sagggQM98Tv7vEQtr2/vjP17eakNk0pK96g3luY3ERKxGKcvNCmYxOUP0TUaf34XJip55Kwp3P1JHcXJet7d1R0blexsH6V50MnZMzP4uKYXRTRKNhAMsadTIJMNRzk8M7PNVKTqsRkma7DL0gw4fEEKk3QEQ2GWFAqhOIdw84oikg1KjitLZlvrMKFwhMp0I7/+4AC/Xl3Ce3t62BOVUy4pSqQq3cCfzq7mmlf28OxF09jTORbnFnjd63t46rypvHTpdLpGPYRFEarSjTywrp5zZmeRbFDi8AaxaOR8XjeAUSVHJCKuuFu1cly+IJctzCFzwry7pstOQ5+DHW0j5CZomZpp4uyZGXSOeAgFgzx/0XQ8/hC1PWOc9uR3sfe8d109j59TzR++aKR3zMvJU1KxauRcMjebLrug/7dq5aRb/vtDvP6T8UNh//8UDm8gplufiP4jCvDiosQ49i3AsmJbXFGv7bZz2/v72T+hJXrzigIyTGpah1z86vhidEcxmChN1qNVSFlVnsSsHIF4dujmm2nRMOoKoFVIY6lUDm+Qn0fNbJ4+fxqBUChW1A9h7YE+zpmZwVUv74gVvjs/quOOE0on/X2tQopMIqJpwMXCggRu//AAQ04/YhFcsTCXnx6Tj9MrFFBvIMDuDjtFSTrOmJHOiMtPgk7BtrYRrl9WwG3vH4iFvfSOebnu1d1ctyw/mmftoXfMg0gEnx7ooyhJx7JiG8FQmEvmZXN8RQr9415yEjWYVXI8/jDTMo24fCHUciliMdy2upiOEQ8yiYhgMML4UVq9OqWUUCTCxoODnDs7CzFCdnwoEiEUjjC/wMqbURa4Qirho5oe7G4/X9QN8POVRYy6/XQc4dcAgqXsJ/t6ufHYQj6r7UchFXHx3Gw2Nw/z6rYOlpcmYdHImZlt5qdv7OHc2Vlx59aCfCvz861kWdWkGFW0DDopSNShU+bh9odoGXQiRsTP3qqJiwX91YcHuHpxXpy+2qyRk2/T8psTS2kbcvHbj+v5yTEFZJjVBMIRIhEhSnRb2wiVaUauW5aP1x9iTq6VCPDmji6UcjHXLsknEomQYVYz4vKzqjyZRJ0Clz/ImimpdI16+HQCwbMq3Uj3qJsp6cY4Pf4hSMXw4d5uMs1qkgwqhpwB0vRKzp+diVounZQcZ3cHUErFXLUoN+ZD3z/moW3YRbfdw/7uMXZ12Hl3dzc3ryjkjGlpvLurOzbquHpRHmq5mKe+bqEi3Ui/w8+ykkROqErB7g6QZdXQMezikhd2oFNIuXR+DtcsySMYivDomVP4pmkoVtRBMGEpSdHz5o5Obliej0wi5o0dnXGfORKBHdFgqF0ddspTDUjEHm44tojffFQbNxK5dmkehTYtt6ws5p5P62OugL88rhibTkGB7TBPZ9zt5aO9vTz1zeGuXaFNy32nVrJygoLgo5oebnz7sJkVEAseevD0SsFW2qikb9zD/Z8d5MUt7YTCEZaXJHL5gtyjknL/K7C7fIQjEWQSMTKp+KhRyd8X/nM+yQ/4t8KgklGaop+0izkykKMqzcAl87J4aUsHkQicMT0tNkM/hJYhd1xRv3xBDqOuII9/tR+dUkaGWU2uRQiGuH99A4FQhDSjkuuW5XPuX7bh9AURi+DCOVkopOKoJW4iV72yi1tWFnLb8SX84p0aZmRbSNIrhYSwBDX7eib7C4CwgzpyNzvo9JGsV9I7fnjhctXiPMa9wszz6W9b0MilXLIihxGXj1e2dXDfqRXIJWKe+LolFj6yr3uMTIuaRQUJmNQyTqxKoWfMGyvqEz9DIBRGLZfiCYTZ3zMeSyL7qmGQrxsGOb4ymXujxj2LC6x4AiH+9GUz/lCY4mQdF8zOEm5WJhVmrZwZWUbahj28vauL6VlmylMNMdtWgIvnZrOtdYQ/f9PKydWpuHyhmPogzaTiuqX5fLCnh0vmZbOjTTAKeeLrZoLhCMkGwX9hVVkSH+87XNASdArUcinTssw4vUFOqExBKhZywAOhCMlGFb96X2DxHwp/+XBPD79YKVjvlqXpGXL4uDbK2j8UXTruDfLy1g5yEzTcdGwhgWBokkPhwLiPVKOSh86o5NP9/SToFCTplTywvoHLF+RS3+dga9so29tG+ay2j6mZJoqS9FyzJA+dUpj/+4NhgpEIKTo5Nl0Kx5QkCiYwwTA1PePMzjGjUUip7RljVXkScokInULCmMfLn8+fyt6uMWQSMQ6Pn8IkPU39gmPh4xP05VPSjXzTOMTbu7o5Y7rQ/djUOMzvTi7n9g9quWJRbpzxzCFkJ2h4+PNG8hK0XLM0j2AozIEeB182DJCXoOOXxxXz4GcHeezLZmZkmXnsnGpaBl2UJuvocwgJklctzsMXDPHg+kauW5ZPy5CbvAQN+7rHePCzg0QicN2yfB76rDHGYThjWho1E86bQ2gZFIhoqytSUEslGI/CwRCJ4LnN7Th9QTY3D7O8xEa+TTuJ5/Dc5jaOKU5kWZGV8rSZDDp8JOkVBIJhtrfb6Rnzkpfg40CvEJs8cVQF0NDvpGXIRUW6MfZYqkGFSS2Ly9owqGQkG5Rx5jNrawfi3m997QA5CVqyzSp6HD4CoQgJWjmpJvVfTer8e+gactBh97GxcZCuUaFLWZys+4+Jj/2hsP9/igKbnl+sLOKmt2roiVrBXrUoL2YQcQgV6SayzRqOK08hHImQl6COc38ad3viimiaUYVSJuYPXwjt7nFvkNveP8AT51Zz6lQbFWnGmGTtihd3xW424YjgIvfYOdWY1DIaesdZVZ5MXZ+Lk6tTePqC6Tz9TQvb20ZINaYy4g5Q2ztGjlUTt2s/viJlkld0boIGpzfIn86ZwubmYQYdPqZlm5FLRGgVEkQiWF2ejFYpY2PjICkGFXefVIY/EEIuEcclioFAsuocdVORbmRxQQI7O+yxJLtDEIlALpHg9QdRyqWT4kXr+hycVJ0a+/fULAv3rz8s2arrdbB2fx8mtYy9XWK+qBvg1uOKSdQp2Ns1xv7ucc6dlUHfuA+3L4hRLcOikfO7tYIZTaZZHcdp6Br1sKFhgNtWF5NmVKNVSFl3oI9fri5m0OFn7f4+KtMNXDIvmwKbji/qByhO0nHilFQa+hy8u7ubEZcflUzCbauLaR1yc9KUVB6ckHI27hGKdUmynt9/Wk9ZqgGjSsajXxw2PwmEIvxxQxPHlSdz54mlQgDIy7spTdVz+/GlvLSlnRVlSUQAiUjwKPj9ugZGXH52dYzGFlAH+52sKE1ic/MwO9pHWFJk4w9fNPLiJTNYu7+Prw4Okpeo5eK52czIMKFUSnENOtArpAw4/PQ7vMzMMlKaomfME+SUKanoFBL0agUf1vRy2/v7+dPZVRTatARDEfolYr5sGGBNVSoqhZ/7T6sQ0gojwkjpkMfB69s7+ekxBXy6v5+GfgehSIT1B/o4e2ZGLP0MBIneB3t6aR920zHi5hcrC7l7bVNMYdE54mF35ygXzM7i6W9b8IVCXPTcdj65di6vbuvimQkKgqsW5XLJ/CyUMjF5VjXXvb6HqxfnEYkInYYtLSNxxMTvWkZYWGClrjd+YZxl0dBr96KQSrDqZFwyP5tdHaMxJYRRLUMtl8a912d1/SwpmpxaJXS6IpSn6clOhP5xJ3/6si3uGKwsEzp1/lA4Lkjp8LkS/9iUTBP3n1bJ7R8eoHPEQ7pZxa9Wl0ySpm1tmWwLm2VRs65+kCe+bsbtD3H6tDSWFiX+S+EuvmCI7nE/172+J3Y+flTTy43LC8mzalEqvv+y+v1/gh/wvWFefgJPnDuVnjEPeqWMXKsKm1HDuNNNy7AXhy+E0xck2aDEoBSRa4u/gGo6BW9nnVISa5efOzuTV47wygfY02FnRVkys7XCrOvL+v5JNqsA3kCIjpEAUqkEly9EhllN16iXa1/bHdPL/vHLJkZcPvZ2jXFcRTJjngBNA04q0gxUZ5jQKaUkG5T0jnm5dmkeXaMePq/rZ8Dh5cxp6by6rYOfvLabZy+cTnmaCY8/RMeIm19P0I+v3d/Lg6dXEQyFJ80JQSBxvb5dKGJZFjWXzs+Jze4BrlyYywd7e0jSK1hdcXTjHW+0nSsSMam1C7ClZZjzZmeSbFCSY9Vy76cNDDp9HFNiI8eq4eWtHSwrtpFkUJBiVHH7B7WMugMY1bJJHQQQQn4umJXFd81D+EMRzpyezkOfNcbxH35zQintQy7uOrGEMU8QhyfAY1HLUBA+523vH+DaJXn4Q2GyLGpWliUjlYjY22lnY+MQK8uSCEdgf/cYJ09YvBzCgMOHRimlc8QTsxb9qmGQHruHC+ZkcedHtfiCYeQSMSlGIVFsonoABP95cbSFPSPLzId7e7hxRQH1vQ4ODjjpGvXQNephd4edFy6ewYjLR7fdi1Yh4dVtnWyNei/cvKKQs2akYpzgA55lUaOQirn6lT2sLLNxbGkyeYkapmYa2Nk+xu/XCaFG1x+Tz8OfN046NyZKzlaWJfPJvl5seiU3HluIxx8i1aTiu+bh2HdPNarod/hjRf0Q7O4AMqmIU6emYXcFCIQi9I35efaI3e1TG1v48/nTCEciWLRyssxqJCIRMokIm15JyxEjt44RN5XpRra1jdIQddWclWPG4w9xcrVAArXoVJQmhfjz+dPY3TGKWi6Q+K6Myt0O4ZDr4ZEL22NLk0ie4M3eNOCJc8kDWLu/jzOnpWHRynnvqjmEwhHqeh3IpWKsWsFf/kgsLbaRpFfEzvOj7ZALbIcVBivKkliQb0WvknHVy4etef/0ZTNKmQSbTkaq+Z/L53B5gzQOOCddY09+08zCQut/xK79h8L+/zkq0o1x7S6AhgEPNT1jPLj+IC5/CJtewe9PqSAQGqMoqtt3uv30jfu4+5M6nL4gvzulnLd3dqGJJl91jMRriw9Z6R6CVasgw6ye9LwkvZIN9QM8fYhYtRt+trwgzgQD4I0dXfxseQH3fNpAgk5BuknFy1s6mJ1rIVGn4IHTK+kb8/Dati62RZPFukY9bG8d5ZGzqvjq4FDMUUurkPH0N/Hs6yGnn+ZBJ5lmFavLU/iw5vCM9OTqVDyBIO/s6kGnkHLbcUXMy7OQlyjwAhJ0ct7f00Nd7zg/ml9JllnN0qJEvphw485N0DIQZb5HIsQIVBNRlKSjc8RNWYqB69/YEysgn+7v4/iKZCHda08PZ8/MQCYRx95j3BM4qh6+OsPEA+vrWVaSRHe/g0yrmt4xLwqpmGNLk0gzqdjcPMQl87LxBCNc+9oeLpiTFRdYBBAKRzCoZKjkEpYW23h2cyveQJi5eRZ+tbqYijQjOQkajCohJe/IhVFxso62Idck18ZjSpJiRR2EAvmr9w/w6FlT+Kbp8C5MJIJZuVbu+7SeGVlmSpL1yCRidrWPsqV1hIo0A7ceV8z96xq44Zg8NtT3xzpIAOfPzsTpC1KZZiQQivDpfiEVrShJi16lIMeq5I9nT+Hxr5rZ2W4nSa/i4nlZHOgZ5/4Jhj5tQ25yE7RxBFOZRBSbme9sH+VXq4vJMAuFvMfuZnVFCk9tbObLhsNKhEvmZSOTiI4qi0wzqpiba+X8Z7YCQorkkQuJYDiCyx9EKROzuWmYm1YUYlDLSNKX8eTGZk6sSon7/gD9Yz5+tbo4FgXrC4aJRCKkGgWPe4AMq5YMq5alxTYGRh202f0kGZU0DxzukK0qSyLJoOLJ86by6IYm2oZcLC5K5LjyZMa8AQ4t69y+0KR0tfJUA73jPm58ex9jngCrK4Su2fOb28hN0PL7U8o4Gkr/TuGclmWiyKYjO0GDPxjmsS+bWHSUrsLHNb0sK0pk8tLzb0MplxA+ilVfIBiBv+1c+2/DD4X9PwQH+8bpHPUglYhIN6jIsf3rKW//FfSMuhh2+/ntx3WxC7F/3Met7+7nj2dNiT3PHwnROnw43OTHr+zm2BIbFq2c82dnsrfLHmMWJxuUlKboGXZ6sWiFglOeZuSOE0r42Zs1DLv8yCVi7jmlnBSjkk1HxKUeOZsEIRJ1aqYJm15B/7iPcU+AG44pIMukIjNBR4ZZTW2vhKoMI0kGJesO9OELhhl0+tjeNspPjykg1Xh4l3Y0L2mJWIROIWVleRLVmUb2dY2xrNjGB3t7eOSLJqrSjVw4J4vmIRdOX4icBA3VaTKah9ycPSODc2ZmCil3iTquWZLHtCwTG+oHmJ5lptCmxeMPk6BTMOz0IRELN8lPogoBvVLKmimp9I55aR9xTbqZH+gZ42fHFrGhrp89HaOkGJTce0oFL25pZ1vbCCIRnDEtnTd2dhKJCLGiZakG7lvXx4FeBxfOycIfDDMz28QFc7J47KtmPqrpYW6eFZEIRp1+Tq5OIxyJTErKEomE3zQcIY7ZvqlpmCyLhnd3dVOcYmBGton9XWPcfVI5v1sr6OjzE7WcOjWNL+oG6ByZbCxzJDfCFwzTNerh1uOKCIeF+2Zxkg6jWsYdJ5biitrRbmkZpi1qVPNN4xDNA05euXQmzYMuHt0QH/by0pZ2Hjqjiqc2tvDKNmE2LJOIeOLcqSwttpFq1pFk1JJl0RAIhpBJxLQNudEqpJw2LY2NB4dYUZaECEEi+vqOTvZ3j2PTK7h8QS5PR0lgarkkppw4psTG6dPSWPPYd6ypSuX6YwpQSMQYVDKmZBhweAJcPC8rLjJ0SoaRkhQDqx/9VjgnVFLSTSqM0QCWQ7DphYXtaU9siS0Mjim2kWVVs7w0iamZJs6ans6bO7tQyiScNSMDkRiIwB0fCr70lekGTqpKxaaVs69LYOUbVDLSTUqsOhW1Ax4ue2EHly/Mxe4O0DToZEG+ldk5Zjy+IA19DvRKGSvKktjSMsxbO7v409lTYjka6WZVLLToEE6oSuHn7xxO0Ht7VzfnzMwgzaSiedBJTdc407Isk86Rv4epmWbuOaWcLruHH7+yG71KikUzWVWQoJX/TcndX4NaLqUgUYdWET+WuGB2JqnGf9zG+38SPxT2/wDsaBvmt5/UsztqyXlceRKXzstmyr8w//mvwhsIM+jwTVpdd9s92D1+IpEIIpEIhUQyaZe5rrafz+sHeOuKWdx3agWtQ24UMjGFNh072oax6RSxwg6wuMjG8xdNZ9DpRSkTmMPPb25jeWkSF83N4qZobOaYJ0BugibO1vWGYwq4++M6bllZhFwquM9tbRkmgrBbquke46UtHXyyr5c0k5qbVhTyl29a6RnzEolEMGtkpEcjbJP0wjzxkOZaLILzZmeSpFdi9wbJsqiRioVktWte3RPrMnxeN0DjgJO5uVZe2daBSibhsXOmIAJufLuGIacfo1rGXSeWkWZSsat9FLFIxOd1AhGsOsPAH86owuEN8sTXzZi1cu5aU4ZULEKrkCIRC0xpmEzwuXBuNte+uju26PmwppdHzqyiLMWAUiZh/YF+FFIx1y3NRy4RMzfPwsmPfwcIYwSzWka2VUOSQcXT37SxuDCRDLOaT/b14fQGSdQr+K5lmCsX5nLzsYXc8VEt1ZkmZuWYsemUNA86GXZNdgX7rLafRYWJvLGjE41Cwtw8KzqllNtXlyCTivEFwgy7fFw2P4duu5tBp59vm4YIhSPRG20841wpE8f+/YfPG/GHwiikYu5cU0qmUUlAKmZZsY3XtsczuHvGvOzsGMXhDU46l8MRcHiDccTRQCjCg+sPUpCgJt2qQyIWkW/Tsb1tmJe/aeXDaITu6VPT+MmyfH7zYS0iEZw9M4N7Tymnb8zHttYRMs1qrlmaT9+YF7FYxJ++bGLUHcCgkvHgeqFtP9Ei9o0fzWBr6wi//qCW+0+r5MHTK9nfPUamRUNZip5Rl5/7Tq1AJhGRalTh9vr4wxlV3PVxHY0DTkqSddyyqpg/fHEwbrf/WV0/d68p45b39rO0KJHCJB33nFxOol7opvXYPdy9tj52Lm9pGeFA9zh/PHsKt72/n44RD8kGpTDDTg2xvXUEfyjCoxuaoh0yNZ/X9TMnx8Jw1OZ36xHW0pubh0jSK2kZcmHWyHng1Aoe+7qZra0jTM8yxUZRf+386RqdvPD7R1GVYYrZE497gmRa1Jg18thISSYRccHc7EkOl//w+6cbePzcat7a0UX7iJvVFclMzTCy9sAghTbdfzsD/5/FD4X9e4bP5+Pjmr5YUQf4eF8fM7It/1Jh77e70SplaJT/molOTqKOpsHJ9qBmjRyFVEIkIuzYNEo5c3ItHF+RHLvpAZw1PZ1Bp4/6XgclKXpC4QhPbmxhW+sIUzMt5B9hRV6WZmR3xyiXvbAz1vLd2zXGmqoUzpmRzteNQ2gVEm4/vpQDveP02j3MzrUgAnZ3jbH7iFjJWbkWPMEgf/6mlU+ju9/mQSe/+6Se65bls6lpiLZhFzkJGiIREdtbh5GKxaQZlNxxQgkf7u3l7JkZPPFVM89H7W6r0g3cuqqYUVdg0uigfdjNiVXCKt0TCPHohiZSjMqYX7XdHeDNnZ1IxCI21B+WDd7xYS0Pn1FJXoKG/d1jsXjWL6KadpVMws0rCllemsSoO0BFqiHGZM60qGnqd07qZLy2XYiC/d0E7fGO9lHOn53JmCcQ60rolVJKUg1c+vyOWMjKro5RLpmXTZJeye6oY9m6A/3ct66Bn68s4q41pWxpGeGhzwRCXopBya+PL43bsQPkJmrpjN6Qv2oYZGlBIns6x7h/fQOhSASJSMTxlSk4fSE+3NtDok7JQ6dXIhELXYjfnVweNYAR/OWvWZKHCHgoWtRB2MX/6v0DvHjxDHzBAO3DzqPyIDz+EC6foGOe6B+eoFUwfhSr0o4RNyOeEEnBIDKplPYhB5ubhnlvglTt1e2dmLUKQpEIbp+Qgphl0RAKh9EopVzz2m5Om5qGRiHl7W1dLC9NoihJR3WGkROPGPeUJesQiyU8tVF4/Gdv7sWokjE920yGWY0/GOahzw+yq8NOgk7BlQtzmZlt4qv6fh47ewoOXxCtQkrrsIsN9fFdLgB3IMTdJ5fx+vZO3okuJtRyCTceW8jUTBOPfdUS9/wbVxRyw5t7Y8eqd8zLjW/V8MLF0+PiVAcdPgYdPspS9SjlEnrGPJNGbRq5hOoMM2c/vTXWhTltaho/XZaPNxgmHIpQ0zPZMTDFqIqZCVUdMSL8Z5FtUcdskG99dz93nljKuC9IIBimJEVPUeK/7kSnlEuZn59AeaoelzfITW/v5a6Phc5QhlnNA6dXMP1f6Db8d+F/JmLsB/zDGHIH2Nw8mcW554gc7r+Huu5RajpH2dQywvt7e9jWMkz3sIMxl5fho7hu/S2kGpVctSg39m+FVMyvVpdg0sgQi0U09o+zdl8vj37RhFoh5S8XTOO8menceWIpZ89IQ4SIJza2cO1re7j+jb1sax3BqpWjPQoZBqB5wDlpjvvB3h6WlyZxQmUKz3zbxpUv78IfDHH2jHRmZJkntWxBsIjd3WFnR5t9UshMMBxBq5By6tQ09nePk2ZU8+AXTZz5562c+uR37Okao8fu5daVRdT1jsdW+wB7Osf4qmHwaBtnAHKtWq5enEeOVUPTgJO0IyIep2SY4or6IbQOuzGq5UzNNFFgi583nz0zgwSdkKy1oa6P355UyoOnV3LXmjJuWVWEOzBZxx6JQIpeyY/mZ8e6KYsKE1hSlEhHNHhFJhHx/EUzqO0Zj0tOA3h7VxfHliWhVUhjxzccgVC0Bf72rsM7zZ4xL6/v6ODM6emxx3QKKccUC5akIBT/NIuSRL2CyxbkcN3SfH56TAEmtUyYxw67BR+AN/ZiUMmwalW88F0bn9f1s6o8mbtPKue5zW04jyJf9AbC2D0B7vyoji8bBllTFT8pPWlKCltbR3h7Zxf3nVrJfadW8PAZlTx8RiV/Oqdq0nwf4PjKZDY1DXLBszv4yzctOHyhmI//RNR02eMIWusO9FGVbkQqEq6V579rZ9QtSNG+bhjkjxua+LZpiIvnZAGCf8Ktq4pYU53GxqZBLp2XTbpZKDJ2T4DPavtxeIP0jHnYFV3wDzp83PVxLQMOP8tKU2gbcSNCRMeIm3FPgNm5k4tIfqIWnUIaK+ogdGte2dpBgk5Bvk3DmqpULp6bRVmKDpVMMilAxekL0mP3MiPbjPKItvXFc7MpTNKTYlQxM8sc18E7pTqNBz87GPe7vbmzi9ZhNyf+aTMnPfEdZSl6sq2H9eyHgnl2tY9y07GFR/2N/hnkJmh5+MwqErQKPIEQr2zrJBAMQyTCrGwLCYb/umnNkMPPpS/uZFPzYVfAjhH3JMXBvxs/7Ni/Z5iUMqozjHEBHiBEb/6jGBj34AlGuOGNvbRG54wauYTHzq2moa8/FnUqAnKtagqjc6+/htJUI0alhFk5ZoZdfpL0SsxqKWlm4SKs63Ny7auHGabv7urmyfOqKU8xYNUrkUrGePycarpGPeiUUtz+ICa1HP1RfNDhrwQ3RG0iH/vqsF74wc8aSTIoyTQH8ARC/HxlEWPuAM9sasUXDHPG9HTW1/YzJ9eCRSM/6k3KqlXwmxNK+bZ5KC6n/bXtnfxqdQktw85JoS0AjQNOpmQYJ3Uojq9I5tXtHexqt3Ph3CyUUnEsOe4Q+sY8k/yrAfQKKcNOH2PeAPeeUs6ezjEaB5wUJenQKmU8+FkT494AT58/lcYBFy9sbqUgSc8bO7q4ZVUxYlF3XJt5aXEiPXaPIOPJMBGORJCKBP/sApuOP5xZRY5VTfuw+6icAplYTDAU5qK5Wbw94djkJWgmnZ8Auzvs3LWmjGXFiQy7/Iy4/Dz8+cEYGfDyBTl80zjM7R/Wxv7eZfOz444fCPwGhzfEPWvrY7vypza2cNaMdCzRneCRKWIauQSpRLDvHXT6SNApuGF5AXZ3gLwELS1DTiRiMadPS+Ouj2tjY5ylxYmsLk+mIFHLz1cW8fQ3LYy4/JxQmUKyQRnzFdjcPMyZ09NZXGidJHfMtGhYP2HhuKDASt+4j2FXgPNmZVKYpKNr1BOnsrhv3UHuWlPGVQtzKE8zcvPbNTGzGYlYxF0nlnHre/sIRyDDpGJqpommASf3nVqBxx/i1x8eIByBHruHBQUJ5CZo8AZCGBwyPqvt49J5WRQmahlxB6jpsnP5whwyTEo+r4//3ZQyMY0DTojAjxcLrP5Bh4/VFcloFJJJBD6xSOjWVaYZeOq8aXxW24fdHWRpcQIpBiWf1/bz1s5OVpYlcfvxpXTZ3ajlUqZmGHnhCBY8QLfdy18umMolz+/kute288hZ02kccOIJhCmyaVHJJDx70TTKU/Sx7Id/FWatgtXlKRTZdAy5/Hj8QTRyKeVpRmRHIav+K/AGQzES7ESMeyZ3hP6d+KGwf89QqxScVJ3KltYRWqN67JnZZqb8E20oty/Erg57rKiDYJDy7KY2bjgmnxP/tJmfryymvnec9/1BfjQ/h6mZpr9pzpBq0ZFq0eEPhSAC8qgH9JDTw0vftcU91x8Ks7FxiOoMgTG/uXmE2z887BY2P9/Kz1cUUtvvxBuMUJoWn4iXbdWQZVHHyE8A587KjLt5xhCBH72wM3ZTTNQJjP3OUTd7Ou00DTgZdvr4xcpiboqGvYAwHy9LNbC/y45RZeK7o3RJNtT3c+b0dKZnmSd1TKZmGknWKzlnZgbzC6z0j/tQySTs6bTHdnVPbWzhqfOmYtUp2NI6QiiaeJWkV3LrccVc/cquGKFwXp6V4mQdpz+1FX8ozJPnTiVZr+S93d182ziEKXoz3dtlp8fu5e1dXZxQmRprs7+8tZ1bVhWzrXWEYDjCMcWJyKUS9CoZ/lCIFKMSpy+ESiamIEGLVi0UyJ1tI6zd38/qiuRJZh+XL8yJJto1xUiR587MwGZQMHqUG9X0LDOpRhVDLoFcecm8bK5blo9YJEItEz7LGzu64hYRfeM+9ErpJKnQgMM3iRH+1s4unr1wOj12D3eeWMavPziA2x9CI5dw55oyeu0ebllVxEc1QgzwugN9qORirlyYx5+/aeVHC3LY1Dwcx834om6AilQDgVCYZIOSlWXJWLVychI0XPPqnri//+bOLl67bCYpBmXseKSbVCQbFLGkvUSdnCS9iktf2BEbBVSkGiiwaVlSlEhJip7+MS8f1fTyzq4ulhXZaOh3xIXlhMIRPt7Xw4/m5TDuC7Cs2MZFz22P7XZnZpu5+6QyfvHOfhJ1Chp6xxlw+nD5gtj0SpYUJdA56qW+30HvmJczp6dTnqInO1FPalQmuKYqlZwEDePeAKlGFaFwhJ+8flhp8dr2Tqw6OVcsyuGRCQz6qxblkqJXUNc7zm8+qkWnkGLSyHhjeydXL85jV/son9f1s662n1nZFi5bkM2sTBPd4z4qUvXUHGFc4/GHCIYjnFiZwnctwzz2VTM/X1FA75ifQaePDLOaKen/ffNpsVhEQZKegv+2d4xHvlXFiVOEruIhiESCouX7xA+F/T8AM7It/PGsKtqG3UglYjLNKoqSDX//hVHolNKjMow7ojuzcETwd9/SMswl87IJRyJsqB9Aq5CQbVWReEQM60QcGXUYDh+dpR4KR5CJJezpGI0zLQGBpXz6tDR+/UEtF8zKRCUXk2xUUdc7TteooC1+4PRKvm0coiEaIJJhUrHuiGjPApuW71qG426KAw4fBwccfLS3h44JGe3lqXoeP6eanjEPZrUcm0FJfe84ZakG2odd5Fg1k0YguQla9veMs6DAyv5uO99FC/Zx5clkmDW8vrOLFIOKEbePlWVJnPz4d5Pmuvu6x6hMNfDixdPpd/joGPHwSU0vlal6nrtoOoPjPqw6OVqFlA31A1y9OI+HPz/IO7u6OX9OJo2DTn5/SgWDDh+j7gAzss1YdXLs7gB2TxCDShbLFb/r4zpKU/RcsTCX617bTTgCy4oTuWlFAXKJKNpCjzDi8aNWCmMUjUJCqkmJViHloTOq2Nw8TPuwi4o0I12jboqTdFy9OJ+2YRcmtZxAKMRzm9qYm2fl7BkZvLpdcCDMsqg5c4YQ4uLyCjfriUE+AI+dPWVS+Mpntf3cfkIJN799mA2doDu6ZtmgkrHuQD8vbmnHplfwhzOqUMkk2D0BWoZceAMhXt7awYVzshh1+alKNwpKAruHDLOKokQtD29onPS+3XavUNxCESFydsBBgm4yaxrAHwjzs+WFhAG5VEy2WYUvGOauNWWIRUKgz01v7Ys7DwYcQgjQn79p4Y8bmkg3q/jZsQXU947TbXcfNrufgBFXgES9gvlJVu76qC6uhb21dYQ1VamsqUohQa/go329PP1NK/5QmByrhttPKOWyF3bGrsvff9qAe0keyQY5Vo2ce04pY/2Bgbjr8tJ52ZQkxztPvrC5nSsX5XDD8gJ8wTAauYTpmSZ+80kdp01NjzHaHzy9kj2do/zkjb1kmNX88exqHvrsIN+1DOP2B3nsnCnk2XTcclwJt767n+ZBJ1qFlB/Nz+ajmh5WlCbxmxNK6Bn3EglHeHlrF89910YkIvAfHjyjkvn5CUf9Pf7ToFAoWF2eTDgMb+/swqKVc93SfAoTfyjsPwCh/f339Jl/Dd5AkKmZJp7/Lr71tbQ4kUObIIlY8A0vSdHzszdr6BhxI5eIuXZpHosLE/7hv52oV3HOzMzY7E94bxELCxL4zUe1nDglNa7wHoLTG+SU6jQ+2tdL37iH4ypS+NmbNbFQkuMrkjlnZjoJWgX3rqsnEIrw5wum8VFNb0xqlWPV0DY0eQHTPuTmnJmZPLupjZIUPZfMyyZVL8cXDCGViLjnk3qGXT4KbTrOm52FPxRmXr6VLxsG6bYLi4HSZD1Li23c9XEtT3zdwnmzM7lgTjb+UIgNtf1c+fJhY47rlubzbeNQNIc83vwjw6zGqJExLcvC1pZhbnqrhmyrFrsvzMH2IYLhCJu/HWZqhomV5Unc9XEtp1SnMer2k2lW8cezqnj8qxa2TRgH3HBMAVcuzOW29/dz84qiOImQNxDG7Q+SF/0sn9cNcNn8HFqGXDz8eSMjLj9rpqRwxrR0ZBIR7kCYba2jPLWxlYfPqOS93d0Y1TI+rxsgFI4w6hYyBA5ZBCfplZxYlcL+nnFOnZpKslFJIBRmYNzH5S/u5MeL81hemohBJcPlC7K02EZeopYxd4Ad7aOcNCU1bpziCYSwaBQ8fcE0trWOYFTJSNQrMGnk5Fo1NE9wETxvdhbPRdPd+qNhQPt7xnh3t0Bm0yqk3LC8gGe+beWuNWXcv/4glzy/g1nZZu45uYIP93QzJ8fC6yOHxwoAKUYlCqmYm9/Zx00rCvmqYZD5+QlxCXEAp09L4+N9vZi1CtqGXFSmG1HJxOiVMlaWJGDRq+kYduLyx5/vM7LNPLqhkdronLVzxMO9nzbwyJlV/G5tPVctzos51R3CCZUplKXq0SkFMtyRcPiCXDovi44Rb9zxbB8ROlVHLrZf2tLOosIEtrWNUJZqnGR+8+zmNq5enBtX2BN0SlKNarrtHqxGFYVJWvrHfGyoH+TCOVkYVDKWFifwdcMg70fNdQYdPvZ3j/HQGZVc9fJulDIJkujCxR8IcWp1Ku6AwJF4dVsnfeNeTq5OZcQToDjZwCf7euMMdwadPu79tJ5kvZK8f1Hye0i58+9CdaaZgkQNp1SnIpeK4+xtvy/8UNj/DyDVrGXcG+LG5YU88XUznkCI4ytTOKbExqMbGpFJRGRaNJwxPZ371x+MMbv9oTD3rz9Iok6JVCyi8B/sEpSn6nj4jCre2tmJWi7l9GnpDI+5eW1HF0uLEpmZbWJr6+HCpJAKDmK/iAa43HdqOQ993hQr6iDItRYVJTLo8mP3BLlwThaZJjlPnTeVra0jhCMRxGIROQmhGIP8EObmWZiSbhSkVQpJLDWqSqvC7vLwyFlV9Dt86BRSCpJ0HOx38EXtALceV4TTF6J71MPcPAtXvrQrZlrz4nftfFzTy4OnV/Le3viZ8Itb2rl+aT6Xzc/hjg9rcUS1rKdNTSPHqkYdJRmlG+RcsTCXdJOK7a0jdI66+aZRYC8f6BlnQ8MAd55Yyp7OMRYXJWLVKtnVYY8r6nDIWWwqVyzMxaSWctOxhQy7/GgUEtz+EL9+/wCXzM/hYL/QQh11B+KK/xs7utDIpRxfkcSr2zrItKhZWpRAr93LgMMXaysDfFk/wEnVabHC3jfuRS2X8PmefrIsGh5YH9+NeXZzG0uKEnns7Cl02b28tKWddQf6mJ5p4uxZGQyOezl/diYf1fRiUsu4bmk+6SYlGxuHaRl0sqlpGE8ghFgEv11TxojLj1ouIcOs4fGvm+NGBWaNPFbUQeBMvLGjk6sX53Lta3tiC8AtrSP0vrOPO04sRSYRsafTTkN0AXZsqY0ErQKtUspvTizhYJ+T65cV8O7OLu48sYxvm4Y42OdgcVEiYhGxkdJFc7NIN6oY9wQZcgrhH+m+MCqFiNOmpfPbjw9r5bMs6pir3CH4gmHq+xy0DbuJEOGWVUW8v6cHly/IcRUpVKYZKEnWEgkLSWtHJh6mmVTIJeK4awaExfrRzFJ0Shm9Y17cviD945MdHoVQlsO3f7EIzpyRzk1v17CyLIlfrirEolPzYNTmWCMTNgFZFg2XvbgTkQgWFSTg8AbZ0T4amzOfPzsTfyjMVw0DdI96KEnVc/3re2Mys9k5FrpHPbiii/8jQ6cA9nWPx66pfxQ9Iw7297rY1DSEQSVjZo6Z6nQjqqOET/1PQKtSUJ529K7P94EfCvv/ERSnGEg1KJida8YfimBUSVm3v5dEvZKbVxSxrXWYKxflTXKgAugYdaNRSMg0a/4hn+OCJAMFSQaWF1vxBsPMuPvL2I7hytd28cols3ji6xa+ahgg26rl5hWFPPz5YR/0cER0VNZ/j91DcZKO364pw6KVY3eHaRp0xrUQT5qSyjkzM3h7VxcysZgrF+VQlqJHJZWQdRQWrVGjwqhRMTHbbWqGGWO0pW3VivnsQC9mjSxW1A9hJEoIOxJObxCrTsEv3t3HebMzkYhFSCVivmseYnfnGCXJeiKRCCkWHctLEvEHI/Q7hGCZiega9dAz5mVWthmzVopCJkEjk3L/aRWMuv089mULo24/Dl+QQaePJ75u5pZVxdy7rgG1XIIvGI7NryVRLtD0LBP1fZNlRO/t6WZ1hZBgtrvDzvt7evjtmsnOXrkJ2kljnXAE8pO0yCWTCUdSsSgaQSvh3k/rY8dwe/soPWNeHjmrikJfkLm5Fmx6JUXJegbGPYQikbi42nAEnt/czhWLcnhjRxdEBJZ6IBRmX/cYZ83IOGonqL7PgVmjmBQg0z7ixhMI4vXB/adV0B8tPGqFhM8O9NM25EIll1DX50CjkHLx/GwO9js5rjyZxYVW/vRVCzqFlF8eV8wfv2wSRhefN+LyBzlnZgYtYaewAFEpsenk3LqqmLd3daFRSJmeZZ5kXgLEdpEPrj/I5fNzOH92JpGI4MH+1MZmzpqZyYI8K5fMy2LcG2BT0zB6pZSfLMunx+7GopZOGhlEIqCRS2NGTYdw5vR0euxuvmkaxh9mkuSvKElHVbqRO04oxe7xIxOLeXVrBwaljNOnpWPRCYTbnAThmjr3mR28dOkMHJ4gl8/PojTVyNr9fSTplVy2IIdwOMyT502lxKbmi4ZBbv9AWBCp5RLuOKEUbyDEiMsf5RcESI7G0CYZJjskVqQajjqa+VvY0eHg2tcOE3r130l54pypzMmz/lPv838FPxT2/0PQa5RURwNa3P4gJ1Sl0WP34PAFKU3JRiER4hAbjmgfH5I31faOUf13tJdtQw5GXAEUMjHZVi11fY64NmAwCKc/uYW1187luqV5yCUCS7zLfvimI4nOJife2EG4oG96q4Z+xyEdq4FrluTHPefd3d2UJOv4wxlVKGUSXt3ewWe1A5xQlUKZy8f07L+vHRWLReTb9OTbYNjp49qlBWxqHoppXmPPE4FNp5zkg31CVQoSkQi7OxDXFgU4vjKF3jEPw04PVp2a8jQT7cNOMs3qo3vO+0LolFKyLTp2tY+woWGAd3Z3Y9bI+cWqItbu6yUQCrOlZYRRdwCJWBRntAHCXH1w3Md5szLQ/RX/glSTikGnF5teyY4oa79xwMHcPAubonatarmEi+dl85PX98Rep1dKkYhFXLEgh44RzyTXsx/NzyHPomJt7eCkhVG33cPerjGyzWq6x7yMewNUZZhwRb/zkTh5aho/meBLsLllmEfOrCLFqCRBo+DgUWKGZ2VbUBzFPUwqFuHyhXhtWyc72kdZVJDA9CwTr2zrJC+6APz6oCBB/KZxiE8P9DEn10LjgJPnJ7SGv20a4seL8xjzBKhIM5BsVPHHDU2IRCJ+ND+bY0sSSdQpefrbVn6+spD6Xgf7ewVW+sTuxsnVqeQlapmZbSbZoCTfpuOr+n4+3NcX65h82zwcLZ4h8hO1nD0jA4Anv26hpnuMly+dQSgc5qQpqTGTG71SSkmKsBje2W7H4Q2QZlLzRV0/F8/LprbXQdOAi58dW8DXBwfZ2znG9CwTUzNNbG8b4f71Bzm1OpU0s5rVlcnkWDTkWA/LNfMTNVwyL4sTK1O48+M6ErVylpclc/Urh4vo27u6efqCaSwoSGBH2zD3fnp4Ee/2h7jxrRr+cGYVt71/gBnZZq5flo9FJ8j7sixqLp2XzTObWglH4PxZ6Zw5IxNvIITb40Wtmlz4j0TLgIMnvo6/Dsc9QfZ22ZmVY4llCvz/hB907P9HoZZLyU7QMjc/gRVlyWQYVYQjIn65uiRuNfzbNWV4/SE2Hhxif4+DPR2TpV6HsL1thF9/UMfJj3/HJc/tZP2BftJNCpYUJjDx2knQKvAGI1Smm8hLUDMjy8xPlgoFekVpAk5/kEvn58Q0rCIR/GRZHh/V9MaKOgj68Z4oEWoiZuda6bZ7ueDZ7Xy6v5/dnXbu+LCW3R12dnf+9c9/NFi0CjQKQUp1/uysuP+7clEuqQYFj5xZxfw8KxlmNVcvymN1RbIQpHEEu780Rc+OtlFufKuGvV2HZUaZFi15CRpOnhKvtS5L1aNVSgiFI/SOufmoppeXtnbg9ofoGvVw01s1nD49nRMqU2Mz2Ts+qOVPZ0/h2FIhCOacmRmUpxqoyjDyed0Aj33VzLg3SG7C4e6FVCzi+mUFPLupLW4X+dzmdpINSn53cjn3nVrB7ceXsKdzlOuX5VORZuCkKSk8dEYViwusDDn9/PydfVw2P4ezZqSztDiRm1cUMifXjFKpOGqhlohFODwBese9vL+7G4c3yObmIS58bjv5CVqSJ+zW8hO17OuyT3qPd3d3o1NISTGpSTMquenYwpheutCm5cdLcgkGI/z+5PK41503O5Mnv25hfr6wY9MppYjFIrrtHqZkGGNF/RDqeh0U2HRxMj8QClM4EmHI6aM8zcAjXzTi8oeEa0gkYmfHGCNuP79dU4bbFyRRr+TFze1IgEfOrOKOE0p57JxqzpqeTqpBwWNnV3Ht0lw8gRDPfNceK+oJWgUqmYTWQTcpRiVbW0e4+pXdXP3Kbmq6hUhZuzvIz96sYcDh5fpjCrh2aR73n1bJgEMgA+YlanF4g7QMubhwXhbv7BIUCZ5AiDs/Eghwa6akMOT08/DnjTFfibd2dfPw54088kUTrcNu+sd9fLi3m7X7ehGL4Edzsxh1B9jeNspFc7N5YXM8l8cfCvNt0xBNAw78wTBPnDuVhQXxO2WvP8Q1S/LQyKU0TfCaL04xcMGcdF64eAafXDOX7AQdFz+3g7Oe3sqjX7X+zfsRQNewA6cviNs/uZtzpE/D/0/4Ycf+PWLY6cUfCJN8hKHJ/wRSLZpY2MFfLpjGlpYR0s0qnt3Uxt4uwdHsvT3dnDQlBbNGRoYlvq3dMeTgsS+bYjfEvnEvP31jDy9dMpMzpqczJ8+KUS0jw6QmFIlQYtPh9weRy2UUJMtABK9fNov2ETc72kaFYJmTyxl1+1ErpKQZFFz6YnxyFAiz6IfOqGLjwUEO9jspTtYz5vGz5ygF/JumIYqS/zHCTdeQkyG3H5lEjFYuYV6elbd2dvKz5YV4AiGyLGqKk3SMegMMu/wsLLCSZdUw6PDSNuTit2vrePLcanZ12NnUNEx5qgGzVs6fvmwiEoFXt3UyL9eMQi7DHwxRkmrkrBkZFNh07O60k2lWY9HKsWjkjHsDiMVMmsuCYN7zxwmpcWNeIcluUUECErGIr6IEwJ+vLIqltD27qZXzZ2dxYlUKRpVgHesLBJiWZSbHGq+AeGtnN5GIiB8vyaFr1Eu2VYtRJWFxQQISiYh1B/pIM6nwBYUb5b3rGkg2KAWL0PUHKU2ZRuugA4NSxvmzMuO0yxfPzSLbqqHH7uG8WZmIxRAKhnnx4un8+ZtWHj6jile3dbKrY5QVpbajjj0k0RzzwXEP+TY9UrGIomQdezrtdI54uPDZ7VwyL5sMs5qHT6+gcdCNSibh26ZBGgecyKVibllZhEImIdX4t3d/oXAEuVQMR8iSTRo5Jck6no5Kmg51Nn7/aX1Mvri8xMa1S3JpHnRz6tR0EvVKUo0q5uSYUCtlbGke5pIXdgqtd5WU+0+vwqSWs6rURnWWmUGHD6NaRqZZTbJewa9Wl/DCd+1sax2hNEXPz1cU8cBnBwmGI2xqGo51WU6oTObC2Vnk23QUpxiYnmlEJBLx/JY2PpvQEdPIJShlYj6u6SXLouHhM6qQS8VxOfF5CRoWFFj5ZH8fb+3sYsjpZ3qWiZtXFCGXipGIRYSJEDxKxGowFGZ3h50tLcPU9TpYUGBleYmNW987gEIqRqOU8mjUsvn82Rlxr00367Bq1XxW28cdE2Syj3/dglYpIy9BjVY1eX69t3OUul4Hw04fZ8/I4O61hx0XJWIRVenG/y936/BDYf/e8PXBAV7Z0kGX3cPxFSnMzjVTmW76+y/8b8C0LDMyiZjeMW+sqB/Ce3t6OHVqWlxhj0QitI14+LIhfpcTjgjGLRONOM6ekcGKUhuv7+rCHwxTnKyn2KbB6Q/xRUM/FalGLFoFeqUcly9A27Cb0hQ9jYMuFhUmxGmO4VAiWQNKqYQfL8lBJJLg8YcmkYsA1DIJWoWU3lEnyaa/7iq1o22Epza28E3jEIVJOi6em4VCJuaC2UKSmVwqIVErByI89HlLzFAlUafg6sV5ZFnVPHpmFUa1nKo0AzqljJe3tMfF0PpDIfocPtqH7ATDIZKNKkKhMMl6BbnVqTh9QbRKKcNOPyKNCBFCxOaRpjpGtZybji1kxB1AIRWjkkn49EAf+YlalhbZkInFnDQlhZJkLceVJ/Pxvl7CEXhucxvXLc3jmJIEnL4QdreYU6tT6bV7uWZJHk9tbMEXDDM7x8yZ09NYv7+fwmQ9feMeFFJ1dIQTIlGnwqZXxayEIxHBarR3zEuOVYNZLafb7uXnb9fwxLlTybNpGXD4UEolbG4WWty3HVfCda/v5pkLprN2v2CfPC9PGJnkWJRcsaAas1ZKba+L13d0xQqNWASzcy18sq+PleU2ZBIxm1tGuGdtQ5yf/FMbW7h+WQFmmzYWnauQillRaqMwSce1r+7B6QsyM9vMaVPT2NNhZ36+NUZkBGHmfLDfwVkzMuLidxO0CvITtZhUMnIStGxuHua4imSe29wWK+oA62v7WVWehNMXJM2kpnHAybdNg1w2P4cSvZoxbzA2hrF7glg1Mu4+qYxvGof46RuHxw/nz85EKUshy6zixmMLGHEH8PuFHemRM3sQPO5NGhnSKP8hw6qlbcjBkkIbUpGYjY1DpJpULC+x0Tbk5NkLptE95uXqV3Zz2fxsfrumjI5RD0kGBVKxmJ++sRdvIMTJ1Wl0jrhZu7+PXR2jnFyZzNkzM9h4cIizZmSwt+swOVMiFjEvz8odH9XSHvWiqO0dZ06OhdOnpTEvz8pjXzahkIq5YXkB+bbJ12YkHD6qA+cHewR53JGFvaF3nD9/08pH0WtzeYmN21aX8PbOLgxqYZGZafrXLWP/t+OHwv49YHPTEFe8uCt2czrQM87lC3PItR59ZfrfDZFIREWakfaRyTvESGRy0llN1xgb6gcmEXQAnL7D81aJWMS0LBNv7uyKFUODSsYfzqxCDKilUq55dTeRiGAfeccJZQTCYc57ZhtrqlKZnmVidq6F75qHkYhFnDk9nbJUHRmWfOzuAOPeMHd8uJ/WIRe/Wl0S55IlEYuYnm3m/Ge28+S51XGFvaFvjG67l4P9TlQyMW/u6GJ/VOazp9POL9/bz29PKuebxiHe293Nk+dPJdWo5tumwdj3qM4wMj8/gU3NQ4y69Xy4twepWMQZMzLiDEyUMjHnz86iKEnHge5xzBo5B3vcvLilg7Omp4NIxIaGQSrTDDz7RRN7u8ZQysRcsSCHqxfncs2re2LHP8uiJi9Ry/3rGnB6g9T3Ozh5SipikYhd7XZOqU6lPFXPoMOLPxQhy6LihuUFRCKQl6hl3OPn0hd2sboiGaNKzvb2UXKiiWWXzstGIhEhEwsFYdDp597ndxAKR0jSK/n18SX84p19BMMR5BIxz100ndtPKOX3a+tx+0OkGlX86vgSchO07Ooc5aaVRXTbPfzq/cOLvEMYdPr45aoSbnl3f8yEaV/UH/+GY/Lpc/hoGHBQmKTjV8eXUNM1RigcYXqWiUAoTKJOgcsXZEjsx+0PTcquD0fAFwojlYiZl2fFqpVTmKRDLBbx6w8OxAri1tYRzBo5p1SnIpaImJNr4ZvGIWZmm0kzqfjl+/s5pjiJB0+vZGPjIKkGFXPzrLy+rZ0tLaPcf3olH+7twaZXxsniDsHhDXLP2npcfqHjc+OKIvrGfYy4BylN1nPZnHSe2iyE1XxS08OSkiT8oTBT0o0xpcfLWzuYk2uhKkMwaRloHsQbitA/7uOkqtRYlsAhrKlKwReMPx4uX4i9XXaMailXLsolEAzzRf0AfeNelpck8esP6wiFIzz+dQvnzcpgdq6VCBGunpBX/tTGFn68JA+tQsqB7nFOnpLCadWptAy6SDIoue/UCt7b3Y1GIeX0aWkMOX2xon4Im1uGeXnJDBK0cq5fVoBBLaM8SYdKNTkBTSQWH5VIl2IUFDsTsb/LzoGe8VhRB2FhdaBnjBuPLSQYjmDRysj7D5CdfV/4obB/D2gcdE66Ob28pYPV5cn/NsmEWCwi26Im3ayic+TwTWp+vpVkY/xKd9jl451d3Vy1OI97P62PEcwWFiTQ2H94h12dYWTME4izDB3zBHhgfQM3LC/kDxsaY7uWQCjCPWvr+OPZU2KJV9lWDSqpEH4yNdNEukHBxuYR7llbz62rivnd2vrYzeOJr5u5YXkBo24/Y54AWRaN4CvuC9LQ72BqlgmlTNi92z1BVDIJGrkEfzAcK+qHMO4N0jvmYdwbxBcK0z7spnPEHUcSW1Zs4+HPG7lmaV4cKeo3H9Zy90ll3HpcMV81DHBiZSr3rquP7byr0g2cNi2dLxsG+bJhkFtXFXHqlBSe2NgS65Z4A2Ee/qKJ5y6cxuPnVNM56kEuEVGcpKPf4acwSYdSJua6Zfnct66BHy/JI8mgJBQRcu0tGjlSscAwHvcEkIrFPP1tK2v3C230Iaefd3Z1My/PgssX4omN8WEk959WwdMTwlz6xr388csmlpXY+HR/H/5QmB+/upunz5/CsxdOj+a9K1BIRdz1SR2vbOtgaWEip01LjyMIikUwM8dCmlGF3R2IFfVD2NIygsMb4ndr6zhvdhYeryDN2tY6wq9WF/PB3l6+axE0/4XJenQKKVKxaJJjnkIqZmaWCYhg08tJ1Kv4/acNXL04L+7cBli7v49FBQkMufyIRUImeNuwiyWFibz2o1mo5RLSzWrWVKVS3zfGcY9uin2fL2p7efLcqQw5vczLs/BtU/wO0+EL4orOdduG3fzxi0Z+ujyfW945wB0nllKdk8BrpSkkaOU4/SGe29zO5uYhSlMM3LKqmAfWN+ALhnFFFyK720fY2DjMc5vbcPtDnDMrnT+cWcVzm9sQi+CCOVnkWdW4jvDR1yikWLUK/vxNS8xnQSEV8/g51WgUEhKjzPolRYmIxWIeWN9ARZqRI/Fl/QAzss3MzLGgkIioSDdRnKSld8wrFOlUHZEI9I/76T2KrSoAEUFFY9MrCYXDRy3qIKgqZuVYSNB1xFwJFVIx583OJHPC+Ki1f5y6Pge9R5Hwddu9hMIRMkxqqtP/cYOv/4v4obB/DzhyBQrCTu/fPQ6qSDdx36mVfLCnh71ddubnWVlWYiP/CNckm04pzMi3d/LTYwrxBkMopWIWFSbEEo1ACAtxHaVdeKBnnBGXfxIjfNwbZGRC9Ge33cO+7jE2NQ/x2mWzaBzy8PN3BFcviUQUtyMYcPj43dp67j+1gnvXNcRpscUiEWKRiN3tI7y+o4s3o4Sok6akcvq0tEksdwC9Usa4J4g3ECJZr2DtgX5SjCoKbTrahl3YPQGqMoyTsuJB8BVvHnByQmUyXzUMxLXT93SOcXxlKgqZEFn6hy8a+cuF0/n64OT3Odjv5O619cyMus1ZtAp+/Oqu2HF7aUsHD51RGY1dleL2h9nSOoIzyoSORCJ81zJMulkdO8dWliXzytZ2LpiTxebmYYzqyaz5vqNoiQ/0jLOoMDH27xGXnx67nx+/uptTq4XgkG67j3ybjrm5Fs6bk0lDr4Mfzc/mqY2tpBiUXDo/h/W1fdz5cR2nT0vjhMqUSTwCkUjELatKGPcECCO0dHOsWn7/aYPgaQ58eqCP/T1jPHxGFdOyTDxwWiU3v72PQacwl77j+FI+q+1HLBZzYlUad34kzGm7Rz2TMsABdCoZN0d1/nPzLOQn6mgYcFCeomdv5xhf1PZTnGIAEbx48Qwuf2knLl+Ipzd18JfNHXz7s0XY9Cq8gXp2tI9iVMu4+dginpvApgeo63MgE4u57XjBaW/A4UMiFnH/qRU8tbGFuj6BYNk/PkB97zhnzshgQ30/mRYNHUNO6vsccaqLl7d04guEeeTMKuRiMec8/R1NQx4unZ9NnlWDWikUzSyrlmGnn0vnZdPv8CECylINWNQSWofcnDE9na8ODjAlw8gD6w9iUsswqCafF1atgoJELfu7x2gbdrG6XOgwvLO7hy/rByhJ1nP2zAx2to0yJ+olMdFj4pTqVHIS1HxW28+LW9pw+UJcuTCHqjQDVv3kNvmsHAuPnV1NQ7+DQChMXqKWdEP8QqBn3Ef7iBuZJJ4fAFCRZiAvQUtlxr9npPmfjB8K+/eAgkQtCTpFnF/25Qty/2Xnuf8KZuVYyDYr8QTCqOVSEg2TL7jSVAO/P6WCm9+u4f71gob61lXFKKVifra8kD9/08JXDYN4A/Fs7EOYk2slzaRCJhHFzSUTdYo4Ik6SXonLH+Cy+TmkG5Ss7R6IFTWZWIxeJWXcE79wMKhlcUXdpJZRmKQjEg6zq9Mel9P91s4uqtONXLEwlz98cdhqdFFBAkqpBKVMwkOnV3HPpwfJS9Tw249rue/USj6q6cWokrG4MCFm3DIRZo2cPb4geTYdr+3omvT/bUNOfrokl5JUE02DTlzeIEVJujh+g1wiJlGvIMUgMKL/fF41z25uj1sM+YJhdraPcmxJEk0DQqb2n75qjnYs1Nx6XAkSsYib397H8hIbCwsSYjc/q1aOTCIi26oRkuomwKqd3CUqtOlon+CAlm5WkahX8PxF01HIJPz8nf3s6xmjwKbjqoU5PPpFEwcHHCwtTIxFiv7yvf2x3/vuT+q5YmEuibrDPuurypOQikXs6hihOsPML9/fT12vg6fOmxor6ofQNeqhY8RNtkXDiNvHfadVsKtjlKkZJn76xt6Y1O717Z08eHolV768i0/29fKLVUU8+XULfeNeFFIx1yzJY8OEdvampmFKUwxIRbCudoBAMIRGIeOKl4RR2cxsM3+5YBpn/3kr4YiwyB3zBqhMM/D7U8oZcfmRiEWIgKYj5HgpBiUGtZxfvLMv9p1D4Qitw65YUT+EnjEvaUYVvzupnLrecQa1AnfhSKw/0M8Fs7M4/o+bYo+9+F07qyuSqUo/XATX7+9jdr6VvEQtMrGYZzY10zbs5TcnlpJuUvL8RdP5ZJ/AUxl1B7BqFXFSRrlEzGnT0nh7ZxdfHRwkEoElhQk8sqEpNgvvjWbe/2p1CXZPgJ+vLGRf9zh1vePMyDajU8jY2DjCL96pQSIWcc2SfNbXCsqNhQUJzM+3Un1ENPX0bDPTs4/uFd8yIOzUVTIJr2zt4OaVRTz7bSs9Y15mZJm58diCH4p6FD8U9u8B07MtPHpWFZubhum2e5ifn0DhUQgl/y7YjH/dK/4QVpYlk2JQ0jvmxaSRk2dVxUwsUo0KRpfmAcIN7pZVRdy3roFAKEJOgoZrl+aRrJfzu5MruOODAzh8QRJ0Cu44oZTbPxRmsnNzLZQk6/jlcSUc7HfyWcMgZSk61lSlkmZWUd/n4KblhfzqgwOxUcBFc7JIMyp54LRKPqvtI9WkYkmRjTyLio5RDxuPsiv+sKaXy+Zn8Yczqxh0+DCpZSQbVDi8fmZmC6Er29pGqEw34gmEufqV3VwyL4tZOWZ+8c4+Tp+ezme1/bHZvkomYVlxIjOzzWRZ1MzPt9I+fNiIRiEVs6TIRseIm68ODpKgVfD0Ny1cNCebW9/bh8sfYlV5EpVpRj7d38+JU1IpTtZj1sr5f+ydd4CU5bn2f9N725nd2d57L7A0EZCmoiLYELAbNcZuNJqoMYnGXqKxxt57L4AgKiAdls723tvs7PT6/THLsMPsOcn5ElPO4fqPYXbmnXfeee/nue+ruLzRch2nx88Dqw5zyYwMnvm+kbMqk1DKxCGZ0feNXDA1lbOrkvlgZwc3zs9lW9Mg9y0tYUN9P5PSDExOjyFGKSVAyNs6EAxiUEpYNjmFd3e0EwyGFkc3L8gNh+gk6uT8amE+iVo5w04vb2xtI0Yt5eb5efSNusaS7wzsbBvm45ouBuwepmTERCziIBQL+9vTCvlqfzdVaTFkmpQ4vX5KknSsr+0LR12KRYIJNf9SkRCbx4fTE6B10I5JJeXB1bUR+nmn18/hntFwmt6Dq2q5YFoqZcl6FBIRPSNOHt4Vufg63G1lcVkCv/nkAA+fUxZhH7y1eYi3trZxy8I8Hl5Tx9MrKtjbaWXQ7sHi8PFDfT+He0aZnG7gpYsmcdHL28Pf+60n59M17OTwuCJuVEmpTDVM+Pny4tXc9sFeOkZcxGpkXH9S9ti4TMmmxgH8gRB34tiOn1AgiEoUnpxp5OKxYzmC351RRJpegVYtI16vwuHxEwzCezvbefq7Bq44MROZWIhSKiJGJaPX6iLdpOLGVAP1vaMMTxAxbXF4CQZDCYJuuRiPz8/ZVcm8vKmFmnYLcwviQvr0KWm8t6M9zE3Y1WbhYLeVOxZJSYn52+59VpcPjUzMK/taOGdSMi9taGZ2fiw5cWqqMwwUJ/3Pirrb42PY4UanlKGQ/u8qhf+7Ps1/EKZmmpia+Z/lilSWYqAsJfrxvlE3n+3p4Y0trSikIq47KYf3r5qKxeHDrJHh9Pi5+4vD1PfauPuMQnRj/uA/1A5wyfQMcs1qkg0KHl9bz1fj2O5nlCUiFQv487cNlCTpuHp2Fi9fPJm2oVCOeY5JRUacGrVMzMwcIyJBkNYhF/etqWdz4yBzC+KijjU/QYNOGWI4r6/ro6nfRoZJhVwsp8Pi5HD3KJdMT0enEHPD3Bxahxwk6RXU99mo7bWFGNjzcxiweZCIBEzNNOL1B9jREmrJLqlIomXAzsaGQcRCAfefVcKtH+4Nd2eEAnjgrFIO9Vh5ZmUlAkK7xvvGSXUSdXKev6CSs6qSIzz5BQI4MTeOt7e3c47HxzUnZfP0+kYG7R40MjFXz8lCLBKQMsYGNmtknFmRxC0f7KUsWYtRJePSV3cAoXHQfUtLyDKFGNunFMezqDSBEYcXg0rCtqZBnlxWwbDDg04pQSYS8MrmVqZkxNBtCbW4H15z1IgkJ07NiupU3tjaxo+Ng8zKjQ7xUMvEbG8d4uzKZAKBAKMuHxKhAINSFpZvAexrt3B2ZXJ4hAIwvzCOnhEXD6+p5c/nl9M76mHY4cHrj5Zeef0BfnZiBl/u7eaU4gSy4lTIxEKGbJ4J3euq0gwIhQKSDQqa+qN92tcd6uPns7M4rSSBJ75t4MNdHbx66WQe/qY2PB7a1zlCXa+Nd66YQn2vHZNayhtbWjijPGRME6eRUZlmYHKagZc2NXNm+VGTGYBFpfGsr+2jY2wsMilNT3acmkWlCXSNuLhvaQnN/XamZRkJHrMiuGRGOvnHbAymZxlYc8NMNjUOsO5QH6eUJFCWrEOrllHXPUJtn50XNzbh9Qe5+4wiWgftvLyphRvmZuP1+dlQ3x9yABzDycXxSMXCqFhXCC1itAopH+zs4LM93dwwL4c1B3uJUUkRj5EzdQpJFOFw9YFeLpqe/jcXdgGhkeVZYwuHRWUJaOUSihK1/+OifqjLQvuwE4vDS7xOgUkVGkckxfz1Tc5/Ao4X9uP4u2B3evihfpAXx8hXbl+A339xkIfOLuWcSSkMORz88cuWMJv35vdDu8CnV1SSHacm1ahAK5dQ32eLKOoQ0nXfOC9kbLOvc4Q/fnWIR84pY2PDAJeekEFarAqZWETKmDTP7faw+mAvH+0K3TBj1bKIYI9EnZz5BWY+3xuywixM1FKaqKfP6qK+3x5BikvUyVkxJY11h/r4xexMVh0IHX+v1c0Dq2pRy8RIRAKq0gx0DDt5+ccWPtrdyZ+WlfObUwsYtIcK/4Gu0YiRyxEpWpJewSs/tvDqpZMjQjAg1JY93Guja9jJvUuK+WBHBzKJkOXVabQM2JicHkOGScXP39gV1n6Pun089k09j5xbhkgkIFYdGvU0D9qZmW3irKpkrn37KOvZFwjyhy8OcsvCPO4cY7LHqmU8dl4Zbl+AqZkxyCUiBAIpwSDc+uF+2oYcpBgUnFqSEO60HEF9n43TShMAkIuF5MVromxMz6lK5unvGjgxJ5YHV9fhDQS587QCHl5Ty7QsYzjz/bF1DTx5fjmT02Oo6x0l1ahEKRVx6wd7CQShri/k5Odw+7hgWhp3fnL0WCQiAZPTDezrHGFRaQKf7+lma/MQUpGQlVNT0Ssk3L+0hDs+2Y8vEKQyVc8JOSbaB+0sr04lepkA2WY1Q3YPP9QNMCc/jqkZMfRZ3VHchI0NA5xZnsjvvziA1x8MXX96BX9YXMTT3zXy528buPO0Ar6vG+CsyiTuPbOY+j4bBqWEshR9hM3yyqnpXPP27vD5+2hXJ79ZVIBJLUUAfHfTTL6rHyDbpCIoFPLK5jaEAgFlKTr6rG6+HDOXmZ5tYmFRPCUJWorHRn3NQ46Ia+G2D/fx0NmlXHliBg+vqeO+s0q59+taxmPV/h6umpnJ8impEVyCqjQD6UYl7+9s57OxTIUj644hu4dEvRy5RDhRoB1CQahY72gZpHvETaxaSm6cihjNxDK1nHgN25oGyTCquGVhLr5AkGS9gnTj/4xwvL/Twn1fHWbTWPdBLBRwx6ICChO1BAUCkv8JviI/NY4X9uP4u9BucfJZTbRsbkvTIBWpOtzeAN8cE78KUN87ysopaQiFQVoHnfiOadsewXjlXfuwkxGXlztOLSDFGL2ybht2sXbcez35bQMXTksjw6RCKhaRaVJx8cvbwszlTJOKX52ST4JewYHuUa49KRuJSMi25iE2NgygU0qI1Ujpt3nIilVHWM7a3D6WVCSxs9USNn0ZcXrZ1zlCIFFLy4CDyhTdhNpji8NLQYIWty9A57BzwhAPnz/I1CwjH+9q5/zqFMRCAQ+tPsTtpxYiEQ2wu80SZeji8QdoH3KQH6/l94uLeOLbeipSDBQn68JFczysLl+E01+/zc1fNjRx8/xcfqgf4Kn1jbh8fubmx/GLOVmMOH3sarOwuDwxinw4/ru6cX4uT66t54KpaUjFInqtTpINSva2W7hhXi4vbmjivOpQcMruNgtbm4dZMSWNbc1aDnaHOAwf7urk0unpfLirg09rOukfK3AioYDWQSeBILy0qZm7Tyvi/qUlfLS7E61czHmTUxkcdbFqfy+5ZjVbm4fC5+alTS38ciwo6fFl5YiFgrHo11YWlyahkPowqmVMzYxhWqaJDJMSoVBAglbOyhe34vQG0CrEPHhWKZ3DTi6ZkY5GLuGVH1voH3UjEIQ4HxWpBnLi1JxWmoBZLeWRtfVhzbxSKubq2Vm4fQG+qwvJHuO1ckYcXgoTtKhkIoQIaB20RyyK1DIxMpGQR9bUc7DbyvwCM3Py4wgIYGfLIH9a14hIKOD2k/O556ujhNav9/dw2ykFfFjTSU68GolQwKr90b/HD3Z2cN3cbOweP15fIGpMAIzFFZvHUg1HyTCpKEvWY3F6eXXz0fFTU7+N8rGFygsbmrlhXi6xaik5ZjX14+ysl1QkYVCIOevZLdg9fqQiIbedks9ppWbitNHFVSkVU55qoLbHilouRyWTkKSTo1VOzLT/r9A+5AgXdQgtcl8d4yksLkv4H73WvyuOF/bj+LugkolJMyqjyE5xGhkEQzKWdJOSPe2RRjgxKimtQw6e+6GRNQd7Ob86haxYVYRBTVasKiLNSioKzf9GnF6OTAQsdhdWpx+dUoRaLibDdPQ1fIEgL21q4eezsqhpH8ask2P3+FFJReTFa+i0OBm0uVFKRby2uTUcJHJqSTwLi+IRCQXcsaiQshQDTb2jPLWikodX19Ez4uS00kQWVyRS2z1KZqyKGJWEIbsXnz+IRCgkP0FDQ7+dNGO0R/zJxfF8ua+bhUVmxCIh18/N4eFx3QKjSkqGSYVaJuLaubnIRCLu+eog51encf07u/H6g5Qk6VBJReFFCoR2QKlGJT0jTvQKCa2DDq6fm8Pdnx1kWXVKFHkxQSfHMm5xoJGJyYxV02lxRRzP2kN9GJRSdrcNc/akFGrahzm9NJLhrpWLyY5T86dl5YgFAra1DuMJBEnUKZidF8vOtmHc/iAPrqrF4w/g8AY4KT8OkVCAUAA3v7+HB84qxR8I4gsEidfKMKgkpJtU4eIMcP4Yx2FeYRxtg07OfX4LqTEKbpqXh0QsoG3Qxse7uyhP0bP6QLSJ0ZA9lGYnJJTc1jPi4qb5udi9Pt7a1k68TsaN83J5Yl09j62tQyiAM8uTuOv0Im7/aB9Xz8rml+/vDS/YZGIhtyzM454vD3FmWSKvb25FAPxQ309tzyi/Pb0wIhPBqJLy4sbmMFP/m4O9nFmeRNOADYNSyuuXVnPNW7ujYlgvnJbGI9/Uha/R17a00jhgw6SWsaQiieqMYYLBID/U93PFiZkoJCIAPL4A9b2j1LRbaB6wY/f4KUrUkm5SMWz38NrmFgLBkOWud2yxZnV6yTSpaBonT0zWK6jvs3Pf14c5uTCOE/Ni+WBnJ1mxalIMCqrSDOxsHeb8ySlMzwr5s/sD8OaWVgZtbubkmrhvSQkbGwY42GVlepaR7Dg1TQMOylN0uH1BxCIBD6w6TJ5ZPWFhh5Bh05S/c4Q5bPdGPdY25MAfCOINTLzB+E/D8cJ+HH8XUmJUXDgtPRy/CZCkVzApPYZsc8gg4qZ5OXxXN4BaFgoUaRm0kxaj5Kt93aw+ENo9vLu9g5vm59Lcb2dL8yDVGTHMyYuNCAX5xZxQgU4zqilO1rO9eYj3drRT025hYVE8J+XHctH0dLY2DYVjHzNNKmI1Mm6cn8vKF7aGkqtUUvZ0WJhfYCbZoOTxtfUR6WBf7evh1oV5mDWysK9+pllDYoyCwngNIy4vNa3D3PhuDScXxeP1+3luZRWXvbaDGJUUIUE+reni3e0dZMWq+fWpBXy8qxOLw8MpJaHEsitPzOTDXR38+qN9LCiM59mVlTz/QzNZcSoWlyVy3du7kYiFPHpuGZWpBhaXJ1LTNhIuzB/v7uQXc7J5bG0dXn8QoQBuWZBHn9WFRi5hf5eVC6elIQBUMhGf1XRx8/w8nvk+xKJP1Mn5/eJirntnNyVJurD9bP+omy1N0Q5gG+oHmJljon3IwfraPu44tZCUGAVf7u0mw6TmhBwjv/30AL5AgGdWVgKhuWrXiJO2YQfvjlMnQMgY6Bdzsll7KDRnfXlTCze9t4dMo4rfLS7E5vZjc/u5eFoqefEahuweFBIRW5oGOdht5ZIZ6RjVEmxuH21DTm79cC+3n5pPulHFwiIzNW0W8uM1ETszCC0o711SjMcf5N4ziwkEghzuGUUqEjI3PxafP8h3df3hvwsE4aPdnZQk6yhODEkfx3dh3L4Au9qG+fP5FfzYOMgP47pX7UNO+kbdpBmVYT1504A9Sn732Z7Qd/nktw0k6OS8cVk1vaNuFBJR+DclFgmiEuw2NQxy3dxsdrUNs7Ao5DmwsCieJ76tDxtJmdRSbj+lgAOdFtqHXVz71u7wjDwrVs0lMzJ45ccWllYmcf/qEM/j3q8O8fSKSj7e3cm25iEqUvVcdkImF720DYBVB/tYdTC0WGkdsqNTSrjtlDzaBh1sbxnm2ndqgNDC8U/LyilLCmnKZVIxWpmYEYeHx9fVYXH4EAkFPLmsnI93dzLq9nHjvNwoj49/NFJiohcNs/NiGbZ7/sepcv+u+N/xKY7jX4qZOSZeungSh3tGw9nrtT1W7B4/WSYlUrGIr/f10GN1IRTAlSdmYtbJWDOube4PBHlodS2/PiWPK2dloJeL6LZ6eGJZOX2jbpL0CmxOLzd9sJenV1Syu22Yq9/aFZ5f1/c1UNc7yrVzs3j54ipahpxIhEJy4tR4AgFEAgHXz82httfGM2NJUD82DvJDfT/zCszsbI30nlfLxFSmqNGrj7b85RIxaSY1n9Z0cqB7lAumpvHm1jb0CglxWgWvX1pNwB9g2OULE48a+208vLqW2Xlx/HFpMS0DDixOD/d/fRiXN3SD/bimk36bi+XVKfzYNEDPiIvbT8mj0+JiX8cIeXFKMk0qusfJn3qtoRjYWxfmhxLYREJe2hjSRp9RmkhFqp7NTf1MSo9hUWkiaqkIs1bOeZNTUEhCDm3BYJCb5+XQZXVz71eHCAZDheC6YxL1ADJiVXRYnGSaVNy/pAQEQSalGWgddNA57OQPXxxt/x6RTG1vGeJnMzMRi6IHrDlxoXjYxj47V87KCi2IBAKKE7X88oO99FrdSEQCrj0pm+p0I5e/tiNcUCelGcgyqbhrUREDdjc2t48ErQKFRMCja+txuP2cMzkZs0bOvq6RsESyOiOG8hQ9V7+1K/zYiimpnFaagEAQct8bdfkmjL3d3TbM1EwjHRNI0AZG3QQI8ta2NmRiIedNTkGnkCAVCREJ4ZaFefzizd34AoGI4JsjCEJ4Bv3t4T6WTU6mKlXPcxdU8ebWVjotTlInKEYysRCfP0j7kIMTc2PptDhpHXJEuEMO2Dzs7Qgtop75rjGC+NbYb2N5dQpPnV+Bx+fnupNCpFCFRIRULCBJL+eeM4vZ1zGCTCxAp5DQb4s0otHKJcjFAkqTjfSMuCPkpcWJWgZtHu76/CBioYC5+XF4/H5eHhci4w8EeeLbBs4sT+T+VbVsaRriyfMroj7rPxKxWgkPnlXCA6tqGXJ4mJltYkpGDCVJOtT/RTrifxqOF/bj+LshEAiYlmUiVi3lgdV1ETP15y+o5Kn1jeGWeiAYCndIN6nIjFXRdkz2t8sX4MZ397CsOpWKFD0f7+6MaGW+f+VUhuwemvpt9I+6KU7SUpKkY8ThoTTZwA91A4iEAooSdailIh5cXcv39f2kG1X8YXERj4zLdgdoG3KSeIzT3qzcWGJUUj7fN0BBgpu8OAUa5dHnjDp9pBlVPLg6RDDqHnFx43s13LekhLx4DSLghGwTZSl6rE4vn+/pYvWBHhaXJTDq9KCWicNF/Qg2NgxyemkixYl6Vh3oIcOkpjRZi0oq4mCPnamZRvqs7ojI1o5hJwaVBKGACL/xT/d0UZyk49SSJH722o7wGCBWI+O+JcUIBAKUUhH+QACzTsEfvjrKyB+weRhyeChJ0rGvMzQ+UcvEzC8w88evD3Hh1FTitDJO/tNG3vrZFFYf6Ilo74uEAgwqKdeflM2mxkHMWhlyiYizKpP4cNfRqNEb5+dQ22PjwbNLeXdrG1XpMUzJMPC7Lw6EC5PXH+TRb+p56SIdr14ymZZBBwqJkGSDgrx4LUFAIhLicrvZ0W7l2e+a2N9lJRiE+7+u5dkVlTy9vJJ+mweRIEQOvPOzAxFeCG9ubWNhkZn3dnTwxd5usmLVlCTpwtK7IyhLMfDG5mYuPSGTVceQPM+qTCFZJ2f5pBSyE9S88ENIWy0QhHLRL5iSwuuXVTPi9ACCCAtigLn5cWwbGzdkx6kRi4SMOL009dswKCTkx2uQCAVMTjOwfdwCdFl1KqsP9HLlrEw+3tVOSZKOhr5oLkVt7yjzCuLotETb4Lp9AdJiFBzsGaVn2ElajJKOYSe3fBAiuR4JvpmcoeeWk/P41Yd7OSHbRGWqAaNaSqZJRW58aEfeNe71hUJYXJ7EL97aFeZevL+jg6dXVEaNpnqsLozqo3Pyd7a1cVJeLKqfqMjmx+vx+wM8e0EVTo8fvz+ATiklSSNB91844/2n4XhhP45/GBr7HVFEOa8/GBU0AyEi3MwcE7vahsM32vx4DSNOH/u7rNzxyX4eOqeU2+blMDk9hk2NA1x/Ug5/2dDEqgO93Dg/h1sW5rG3Y4R1h3q5aX4ev/lkf9hnPUYl5YGlJXw3lkbXPGBne8vEEZDxOjlZcSoa++ycWZ6INxCyUIUQV+CJ8ysYsluIVUuJ10jJNqvCN74jCAZDTmNGlRSTWkYgGOTP3zZgUkv52cxMVDIRgSDIJOLw/HM8NLJQrOjvvziSbtVHSoyC5dWpJBkU7GobxuMP8PSKSjY3DjBo91CarEcAfDPWFo1VyzijPBGlVER2nIoHVtVG3ED7R910WVzkxqkRCWBvty3qZi8TC8iKVZETl4nF6UUiFGJQill1sJfnVlaRolcwYPcgEMCuliFump/LA+Pyt2+Yl0O6QcH0BXlc6/NzsMtKx4iTS2eks6QiCavLS7xWjlws4sZ393DlrEySDEqe/LYe3+xsanuiM9c7LU5OKjBTlX7UuMTnD3C4ZwSnJ8DGhkE+3t1JkkHBnYsK+fP6BobsHlYf7OFnJ2SwtWmIRSXxuHyBqDY4gNsb4Kt9IUZ3Y7+NsyqTSNIrwuemOEmLRAgvXVJNwB/kj0uK+cuGZrz+AJfOyCDXHJpHa5QSPL4gs/PieGtbWzjlb2qmkZw4Nd/X9RGjkrJ8Shqtg3bq+2xMzYjB6Qvw6o8taGRirpqVRZJOzqamIe4el3QG8PTyCs6qSqahbxS9Usq+jlCca1GChpLTihALBexss/Dt4UgDoslpMVgcHubmx0XsqAEKE0JM8Ow4NTM0UuL1Klbt6+KJZRVAkHe2tfNj0yAjTh+xKglvXjaFlzY1hw2eFpcnctmMdEpTDBFe70vKk/hoV2cE+dXjD7DucC+zc2MjAqVOL03gk91HRxgSsRDRRDT6fyCKkkKyTa/fj0YuxqD667nv/0k4XtiP4+9CTfswrYMOlBIRCokw6v8b++0UJ2qj/NllYiGPfVPPRdPTEQlDc69drcO8tOmoZ/knuzo5ZWUFc/NiWVKeyIFuK6vGZvJ6hZS3t7VxuGeUGdlGPhzLnj6CIbuHg91W9AoJlrHZ5Pd1/ZxdlRyhz002KKhpC7m5TT41hp4RJ7d/vD/8/32jbv78bT1Xzcri7s8O8ouTsvloVwcxSmmUD7lSIsLh8fHM9x1hXfaAzROSr/VY2TG2sFg2OYVpWTFsbjxKCrvmpGyeGOeGB6EZrdsXgGBoN5QTq6J5MCSt08gkvLGljWWTU0g3qsgza1hUmsCLG5sZcXq5fm521EwWYMDuJtGtYFe7he/r+pmZE6k3v39pKY9+Ux/h6/6rk/O5fWEeMokQjUKGyebiwbNK2dQ4wJR0A69cMpnuERcJOjlJOjmJY1pgsVhERqycLquLe786TK/VzUn5cQzZ+5iZY6IwQYNYKOTdHaFi0zPiJMOkivKUN2uP3nR9vgBNA6NYnD4a+2xsaR7i07G5dtuQg5o2C1fNyuSxtfWoZRK8gQAn5prIT9Sxr8NCaZKOvZ2RC02ZRIhaJg5r3B9bW8eKKWkUJGjoHnHRPuTgni8P82GKgZIUPVlmDZPSDAw5Qn7zH9V08vo4VviUjJhw0l7oGnCTE6tia9Mw51WnsLutn/1dI6QYQgY9+fFaHj23jGSDApNSjEEtZ1N9tLnSn9c38vTyckqTtFjH0uqMKgkxajn6MWa4LxDkshMyeGNLyLVwaWUS+fEaUo0KukbcLC5P5Kt93egUEm5ZkIdOKea9HR2s2t/NibmxnF+dwsFuKx3DLvpGXczIMTG3IBahQMDD39QzNdMY0UH7tKaLPLMGmVhApknF+dUpvLO9HaFAEDErl0uETE6PIU4t4/TSBOr7bAzaPCypSKQsRc/rW0LnL9TlSEUu++lL07GZGP+bcLywH8f/NzY3DnDDuzXh1umCQjMrp6byxpajN7l1h3q57ZR8bni3hgFbaKe3bFIKO1qGsbl94YjMR84pI9mgpDBBy4GxRYBRLaNpwEHzoINdrcOYtXKum5vNs981MWh3hx29jujgj4XV6UUlE4cLe027hZsX5JIVq+aHun4yY9WY1FKe/LYBXyDILxeIoixrAfZ1WmkasHNSQRx//OoQvVYXvzo5PyRtG9fm1iokJBuUfHPoaNdCJBRgUkvDRR3gne3t/HJBLsurU+m0uMg1h0x2Hlh1+Ni3JhgMEa4eX1vPVbMyWVSSgMcXoNMZWlR8vLuTJ8+vwKiWRvj2v72tnaUVSTz7Q1P4MaEg5JT33IZGLpmRzv4uKd/V9nHpjHRe3dyKPxDE6fNHFdan1zcwJcPAjpZhSlN0bG0aQiOXkGFUoZZLqe2xkmvW4PMHqOkYYdjppdfqQiISIpeI8PoD3Logj0SdlF6bF68/iIAgvz61IKx9Bvhibze3nZLPY2vrsDp9CARw+QkZpBhChb1/xM6WlhEeWl1Lz4iL359ZxJfjAocg5DznDwbRyMTkxKmRicWUpWjxeH1sbRrklpPzuP2jfXQMO5GIBPx8VhZ1vTaunJXFQ2OjFa8/yNbmQTy+AG9tC13LRYlalLKjnRa318/ejhHyzBre2hq5C97aPMSN83L4cizZNHFMTrmsOgWTSsqJuSaKkrQEA0GKk3UIgY2Ng8jEQmQiAZ3DduK00TvINKMSiytkRjQ1aWJmeN+om1lZRk4uMuP0+tnfZaVtyIFRI6XArGZSuoEZWUb6bW6cXj+3fLAvHNPaY3XRMeSk2+pme+sQOXEapGIhMWopeqWEWLWUPeO09kewrXkIk1rGOZOSuWJmBicXJ+Bwe/H4Q9kFcwviKEnS8X1tP4d7R6lMM/DaxZOwewMkaOXs67ayYkoqHn+ABYXxFPwLXTj/t+B4YT+O/y8091t5YUNzBFFnzcFeHj6njMZ+G/s7rEzPNnL5CRlMzjDy4kWTaBtyYlRJQruKMQc0gKmZMYw4vTy0upYb5+fSa3Vhdfq4cFoa21uHI4hZZq2My2dmIEAQ1pX/2DjI8urUqDZrdUYML25qCf97dl4sFruXBYVmkvRy/vDloYjj/7Smi5+dmBn1WavSDGxtGuKEHBOdFifBILyxpZVbF+YzaPdg1spI0MnRKyVIRQKS9EdNcZQSUUQS2RG8urmVPy0rIzdOxaEeOz0jLh46u4wnv62nZczNzKyVoVdI+L4+1LZ8YUMzpck6Hj67jOve2R2KK/UFqO+1YlJHFoK+UTe9o25ump/Dezs6MCilLC5P5M2tbTQP2LlwWjqnFCdw83t7GHX5uGZO9oQ2pxAqlkN2LzlmNS9vbOGMikRuencPt56cx43v1vD7xUUc6LLy2Np6rpiZyVPrG0jQKUiJUfJDXT8XT0/nQKcVtVyMVCzk2e8bmZwWw8qpaZQkH03hcvsCPL62nl+dnI9WLkEpFbHmQA/f1Q1QkKjncJ+d68c+N0BdzygqmTiqM2HWyLn/rBJ8gQBmdWhOGwwEsXn8XPvWbn69KB+RQBDWhm9qGuJAl4VbFuYxYHOTYVLh9QX4w9hCSSERcfOCXAgGaRu0oZVLSNBKx5jUXjJMqqhrzx8MIhDAxdPS+XpfT1gaaFJL+dN5ZeSZNWxsGOC2D/dhUEpZUpnEY9/Uc+WsTAKEFmHjY5JNaikrp6axsX4Ih8fPpHQXZYlqjNpIPwehUEBTvw1vkIiFXpJewTMrK/h4dxcvb2rhtlPyI1r9T3/XyF2nFfLJnk7WHQpdb+1DTmraLdx+Sj4pBgXFSXosTg87jiGaZsWp+WhXBzNzjGTEasiI1Yx9PyM8vbySxn4br25uQSYWsbvdwreH+3jp4snhbtEcrZw5edEukeNR0zbM5sZB6vttTMs0kh+voWSCRLrjCOF4YT+Ov4q9HSENrEAQinotSdZjcwciWppahZiLp6djc/s4f3IqqQuVxOukxOtUtA2G/rYiRYvPD0MOL+9eMZX6PhtCgYBhuyc8W355UzP3LC5Cr5QSCAZ5YUNkxGivNSQD+uZQL+dOCrX9Rpxe2oYcXD83mw93daKShuxVzVoZD51dSuuQA6lISGO/jcfX1XH/0lIkIiGDtkiDl/o+G1kmFZdMT+PVza0EgiFJUHV6DAM2N/1WF3Pz41h7qI+WQQf3rzqMUiriqeUVJOrl+APQZ3Xx61Pzue7tGkRCAedVp1AwlgudaVKxoMiMUCAAggzaPLy+uY11h/rw+AMIBfDgWM51qlHF7NxYtjUP8V1tP1mxIY/wQ92j5JrVvH5pNZ0jTuI0cmRiIZ0T5INvax7itNIEqjMcWJ1eHlh1GK8/iHxsZCIVCXhmZSV1Y2laMrGIGKUUpVSEY5w+/tSSBJ7/vpGq9BjmF5nx+QIUj+3AChK0BILw1PpGZGIhQYK0DDo4qyqZR9bUcedpBdz/9eEwwU4hEXH9vBzu//owSpmYM8sSmJVrCqfdySVCzBo5V72xM6zlzjWrmV8YR3O/I2Jm+8Xebi6Ymsafx7o+ABlj+uv8eA0VKVoMYy5m9f12nv+hCYfHz60f7As//9Fzy9ArQjJMp9ePQSll/eE+KlMNPLW8ArvHT4ZRxbA9VORSjSHt9ZDdw8OrQ6zqxWWJzMg28eqYI1usRkZ1egz3LSlmyO6JcBYcsHnY1mJBLBKEnQ67R1wc+srKrxbms+pAD/P8cTy1vpHLTshALhESCIZ85K95a1d4kSgQwDMrKjm5OLKwx6qkxGYZWfHCtojHQ54NXlbt7yElRsHh7miS3ce7OyNIbBAaaXn9AVIMKuYWxNFlcbK5cTDsFRFqwwtJjlFS0z7CZ3u6yYpVhUl1YqGQ3lEXJxcn4PL6yTVr+GBnO3vaLVFjoImwv2OYliEnG+oGMKpD/JVbP9zLz2dlkWNSIJf/c2Ku/9NwvLD/H8LBrhH6R93oFBLy4pQo/oYfxbbmQW79YG94F5kVq+b+pcXEqqVMzzTy6dhO5Pq5OTz2TX1YkpQao+SRc0pp6HPwyJo63F4fd59RzMNr6tjWMkSiTs4dpxXwwobmCD90i8NLgk5Baoyc+j7HhDGwBpWU35xagF4hpjLNwMEuKwalhFGXjxVT0hALIcUgw+7x8+uP90WFkWxuGqQ6w8AlM9L5y7iFw8opqajlYs6vTqYsRU/zgJ1Oi4uatmFyzBpEIiGzcmJxef1sbBjEqJJy2yn5yERCvN4AAgE890MTy6tTeejsUlQyMXd8sp/D5lHuObOIw92jvLyphWAQLpiWSqxaRoZJxU0LconThPKzHx9zbNvaNMQj39RyYk4sdywqoKbdQiAQJDVGSU2bhVNKEkg3qnB5A1z5+k6mZZmYVxAXnn9KRALuPqOQwngNL25q5sdxXuwXTk1HIgqRFf2BIIl6KRe8uIMBm4d0o5I/LSvntc2ttA85mJkTi1Ao4LM9XUzJMjLq8hGvlaOWibE4PMRqZNjdPpxePwk6edgtze0LUJSoZUvTUMT5d3r9NPbbSNIr+GpfN6cUx3PTvFyWT0nD6fFj0ki54Z2aCIMWs1ZOl8WF8pi5a9+om+YBG/ctLWF/5wi58RoGRt28vbWVMy+ppm3YRcewm5QYBW5/YEJ9tNPrpzojBovTy3PfN+L1B5meZUQ85h2fbVKxtWUYpUyCPyjk9o/2cN3c3AgVwrs7Orh4ejpVqXqMahkXTEvjF2/t4sqZmWxoHEQpFeH2BcIcEJlYEDGuglCnpN/mxucPYnX5MKqlYVmmUiriomnpEZ2fYDB0rU1O1TPk8GLz+AmMOahVpekndDx0ef0hM6leG1pF9K3fpJZO+HdGlZRhh4sXNjSzt93C788s5lCPFY8vQJfFxdvb2vjlwryI8Jw/LinGoBDSO+rmwVW14XMvEMDtpxQgFR8lx406Q9+TRCQk3aRCLAotPC02N2sO9vHEt0cXbtlxalZMSeOlTc3MK4ijMu14YZ8Ixwv7/xF8V9vHbR/uo8fqQi0T89vTCzkxw4DZ+N/Ps9Yc7A0XdQixhr+r6+eWhfmsmJpKXd8oMrGITQ2DETeFtiEHO1otfFLTwa9PKcCoknLHpwfCfthdIy6ue7uGly+ezAUvHd1dzMw2EaeREqtVMmDzsrQyOcKbWiYWkh2rYkqmEbvbx1f7e/lgZwd2jy/cRk43KqlKK0MiIoJQdwT+QJCXNrZw40nZVKYa6LW6MOvkuL1+Lnt1B1fOymJqhp44TegxmUSEXCJkb+cIGxoGqM4wcsG0NGraLRzoGuHRb+q4alYWZk3ItWz94V7yE7R8sbebvlE3I04vUzONvLH16M38xY0tKMcY8i0Ddr7c282cvDjSjEokQgHf1oYK9A1zc7nm7d3hz/HV/h4eOaeM697exUPnlPFdbR9Wl4/VB3qYX2jmpvm5KKQiMoxKMmOVJBiU/GphLodLbbQNOUjQy8k1a3B6/Fz3Tg2dFidnlCXym1Pz+f0Xh2gZdHCgy4rPH6A0Wc83B3vpsYZ4AG1DDmI1MmRiAduah7hyViYvb2rhjLIEDEoJPVYXGWP2ujLxGCFtAgLfqMuHSiZCLVNid3uRxShYWBQPwJbGAcZnlUlFQi6dkcGQ3YNGLqIkUUfPqAuPL4DV5aU0Wc89XxxEJRcTr5OTpJfzxPmVfLS7k2G7l/wEDT829nNWZTLzC8wR3gkqachmuG3IGbHA+7FxkKJELclaKRsaB3ljSxtXnJjB7z4/yFWzMyeM7v1ibxevXjKZtQf7uPClbYiFAkpT9CTFKMNWsXa3n5c2NZMRqyJGJY2QvB05Z1MzY3hqfQM3zMvlo90d7O+0UpKkQzSBF8CIw0vniJs/r2+gpt1CRaqeihQDb2xp48yKpAhTILlEiF4p4apZWfz8jV2YtfKIGGSJSMAlM9L5vq4/rB4RCQXcND9kGLOtZYR4nZw1B11c/toOLpyWhk4hoSJVz6nF8Vz91q6IY3v0mzompxvY2jwUsaAKBmH1gR5+fUo+EGqxb20e4p3t7cglQn42M5PJqTpSTBoaB+wR3wtAQ5+N00sT8PmDTPDTPo4xHC/s/wewv9PCrz/aF9aS29w+bvtoH29eXv3fFnafz8e+jhEMSgnnTEpm0Obho92dYX1zdYaRx84pY8Tl4zef7I/6+7ZBO/efVcojq+u4fGZGRMgFhBi8rUMOqtNj2N0+zNyCOC6ZnhEOdcmOVXJaaQIauZiv9nWToFVw+YkZTMk0AiE72/IUPS6vP2I2fN7kFOzu0K5nScVR/TSEJGEur5+OYSetww6e/LaRE3KM9I26efq70A7pzk/28/SKSl7b1MzB3lEWlyVSmKjj7s9C44I1B3uRiATcvCAPp8eFy+sfsy8NMjXTREGiHp1CTP2Ypjg7Th1lgAMgEQv4fE8XdWPz2X2dI1SlGji5xMzzF1Tx9d5uNjUMRC1OvtjbRbxOgUYmjrDc/eZgL98c7KU6I4ab5uUQp5KOfd8BvtjXhVIqYtTtIytWw8/f3InDE0AkFCAVC+mxujmzPIlYjYzdbcOcVZXMY9/U02N1UZqs44yyRN7f0c6cvFik4tD4YWvzID+bmUFjn43fnl7IvV8eZnPjID+fncU3B3pYWJQAAiIsYQHKk/V8e7iXp5dXoZGLyBsbVQBMzTLx1IoKDveM4vUFyDVrKE1Ss6vdyrbmIa45KYudbRakIiGFiVqe+74Ru8fPrLxYYtUydAoJW5oHMSilfHu4j09qOrllYR6Hemz8bGYGZo2MNYd6yTSpuXBaGialhDUHor3T1xzs5dSSBK5/pwa3L8CKKSH9/qaGAQoStFHPT9QrsDh9ZMapOKcqmcXlieztsPLAqsOkxCiYlRuHRCjgsXPLSNUruHpOFte8dZQvEKeRUZFq4IUNTVhdPu796hDzCsysnJLG5HQ9tb32KA7E8imp3PnJPvaMLTRWH+iltmd0LAEOrpiZybrDvSQblFw6I50ck4Jhu4cXLgzl3d+3pIS2QQe+QJAEvRzpmOHNLxfk0T7sYGaOiYfX1NIyEFrYJ+rkXHtSDo9+U8fLY9yVh84upX3YETG6gVAL3+MLRD0Ooc6Bze3D5XKzs3U4Itnwpvf28OzKSlJMGvzBIG5f9N/7g0HOrEgkzfivZ7UHg0FGbC4QitCr/n008McL+0+MQ10jWF0+YlQSkg0qFNJoDfNPjV6rO2p34A8EaRtyMjWaKxaGWCzmZzMz6LG6+WJvFwallGdWVOL2Ht2Z5yeGyE8nF5n58zEEoqlZRrY2DrKxYYAb5+egV0rCrmRH4AsEuOv0ApoH7HSPOCM03hKJhEnpMeSblZxdkYRGLmTY4WNX2zAigYAUg5Qsk4JHzy3jvR0dWJwe5uaHXOQ8vgDf1fZz1+kFZMWq+Xp/D4UJWqZkxvD1vm6umpUJAgFXnJjBHZ8cIC9ew8nF8WHzkdUHeui3e7E6fZQm63l7W2Tr1OsP0jHsICtWzbDDSxDwB0KRoa9ubuG2hflMTo/hUPcofaNuKlOjYyVjVLJwUT+CnW3DnJBj4qHVtfx5eTmvbGqN+juvP4hAIMDq9LKgMJ6v9kUappxaEo9BJUGtlLO7bZhr394dERizqX6ARaWJvL+jg4umpfH1/p5w/CjA3acX4vUFuPO0ApRSER1j4TtXnJjFiMPLze/vRSUV8cT5FbT024hRSfH7A/zlwioG7W5aBhzMzosjx6xCJRVx75JiXt7UgkQo4MLp6Xj9AZ67YBKZRgVpJk3Esdf1jOLxBUjUKdDKxQiEQezuAIIgFCfpuOrNXeHippKKuHF+LiXJOhYUmnl7Wztfj31/QgHcenI+z3zXyEe7OvjF7Cx2tVpYUpnEksokJCIhWpkYX8BPdlz04rYoQYvXF+DG+bmsG1M5pMYo6Blx4/QEImR5YmHI1fD1LS3csiCfVzaFiGIvbGhixZRUgkH4cm8XJnWoeFtcPh77po5bF+YzYHejlomZkWXC5jpKTPMHgqw91Mvi8kROe2ojH1wxnT+dV8FfNjQx6vJyfnUqZq0sXNSPoGXQwRnliTyxroHJ6QZevGgyMrGABL2SQ90j+AMCVh3o5fUtoetKJhYiFAj4w5lFvL+jgymZMfSMuEmLUeLxBRgax0PpGnHRMewMJybmxKnJiVNhc/ujcghOKQ7tqsuSdRHhSaHrM4EgQdotbj6ZIEDq+7p+Ti5OIFEr49TieL4Yd31r5WLyzBpm58YS+1+kwP2zsL/DQvOY82KcVka6UUl+ghblv0G2+7/+CP6Xon3AxvZWC7//8iAWh5dkg4L7l5aQbVQQ/zfmD/+joJVLJiyqcZq/Pp/qsLi4+7OjsZjrDvXxwkVVUc87KT+OvlE3H+3qRC4RccWJmVSl6rlzLHP6vR3t3DQvl99+fiB8Y55XEIdYIMDlDSAZm1/nJeiiXlutkBMIuqnvs/P29nY+relEp5BwzZxsZmQbeXp9IxqFmDiNnBc2NGH3+FFIRIy6fHSNuHltcyv58Rp2tA6TqJcjEgq4bszPOjtOxdMrKrjo5e1cd1JOuLBr5WKsrrHzFWTCtp9cLOL1zS0AzMmL44FVh5mRbaJj2MGIy8PkdAPtQ07W1/YRq5ERr5WHd9hGlRT1f6HVFQhCRL7mAQczc028u6M94v1n5phYX9dHvE6GWi7mnjOLefb7Rnz+IJfOSGdymoG8MTew1kFHVApc44Cd5VNTWVqZhFEtiyjqAH9aV899S0uI1UjZ2Wph1f5ekg1yPujq5JSSeJINCloHHdz56X6eW1FFw4AdAUEgiEEpxWeAIA76Rt3kmTVMzTBQnW7A5vbTbXESr5Ojk4uxuvzsah3CpJZCMJSOt/pgL09/10ggGPIaf2pFOa3DTqQSIc9uaIrYsdo9oZ2fSSXF4vCGi7phLGHt+9o+FpcnsvZgL7EaGTeNRQYrJEL+sLgYjz9A66BjjGinZ/dYR8mokrKoNIELxlrql56QgVAAi8sSqe218djaei6eno5WLsYXCFKRqufjne1MzzLh9foYcXqxu31o5WKCQcKSuWGHlxve3c1TKyqp77OHyZdefwCVTMx3h3t58vwKNtYPECTI/AIzzQM2XrhgMiqpCKHAz+2n5BEIgsvrIxic2MTliLnL2VXJCAmSoA+NR7z+IE6Pn2GHm3MmJVPTZgnLRA91W6lKM7CpfjDMm9EqxNw4P5d7vjwU7ho19du4eFoaCEKRxeWpBiw2B39eXsFj39TTMezklOJ4lk9JYXe7he9r+3liWQXvbG/H5vKyoDiegngNRpUUsViAXhntLhcztvNNNqq59IQMEg1KvjnYS5455G1/pGP3r0Rt9wivbm7l/Z0hTwyJSMBtJ+cjFQvD8bj/Shwv7D8RmgYd/OqjveFVbMewk199uI+/XFhF/D/5WFINMm47OZ+7Pj2Axx8ieV01K4vECbSy41HXa+W1Y7LCPf4Au9ssnJgbKU+pTIshNUbBeZNTEAmElKfqCQaDTEqPoWXQQU6chsw4Fb85tQCL0xtmcueZNUwa5yg2Hjtbh8Myojyzim9r+/hg7Ic0YPNw9+cHefXiSVwyI50eqwt/MEhVmoE3t7SSZFAgEQl5cl2ondxjdSERCQgECZvcADT02flqXw/nVSWH/bq1CjF58Zqwacbh3lEWlSREjBLEwlDud7pJhUggwOH1Ma8gluZ+O3Py4lBJRKTFKLl6dia/mJOFzxegLFnH7nYLwSAYVRLUMhFVqQZ2th1t08/Ji2PX2K7N4wvw2Np6frOogG1NQ/iDQU4rTUQuFvKrBXn0jnqoabOQbFBy16ICavtGmZSmp2jcjUUzQaiFSChAIhKytWmIwgnayja3D4fHj1goJFYt4/SyBExqGb5AkOe/b+KpFRUopSIICpCKBfzhi/3EaRQk6xWcOymZeJ2U6ZkGNEoZg6NuvAE/w/bQdx6vk6OQiOixujnQZaXD4qS538bSymQGbG7+vL4xfBwnZBnZ3TbCg6tqmZljYtQVTezqt7o5qSCWrjEP9/OrU1DJxGxuHCQlRsnUTCNJegXOcRa+F0xNp2/UHbYEBrhkehrLqlPotDgpTdZx/duhFrybUPzvLxfkolVImJ5lRKuQ8MqmFqQiIRfPSOfVTS0UJmqpTNFzsNfGsupUBMAVs7J48BhvgkAwNCc+suM/0qoesnnY12Xl6jd3MSUzhuXVqUjFIr7a18ODq+uYnmXkihMzueK1HfxxaSl/Xl9PjEoW0WWCkBOcy+vnkXPKmJqhI2n8JiIYSs4bcfjY1jzMtCwjp5TE88S6BuK1CjRycbioA1idPj6t6eKk/Liwo+Sc/DguPzEr4jPp1UoWFinJMKlwjsWv6uRimgbsxGrlbGseQiwMKRb0CgmZRiVpY5K4n8/Kojo9Brc/gFws4vvaPmZkHdXoV6bFUJkWw7lVyWMxyv8eDnFtw85wUYfQoun5DU1kxv57aPCPF/afAE19o9T32aLY2CHJiQen1z+hrehPBbNeRWWqnxcuqqLb4sKkkZGol5E7wU19PEQCASJh9K5ALIx2mAMwaRSYxrXHBAIBUzNi0MrF/PazA8jEQu45sxilVIREJGRGlokdrUM8sb6B0iQds/NimZwRWo1vaRrkmrd2hVnWcRoZj5xTxqc1XWGNOIDF5eOZ7xvDBD+JSMDdpxfRPuzAqJZFmK2Y1DI6hiN3pxCaAf9hcRF9oy6uPSkbk1pKZqw6HIv66o8tPHZuGfcvLeHrfd1oFBJWTk1j7cFeXtgYIvfIxEIePqeMmvYhylMMSCQifvfFQTY2DKJViLl5fh47W4b4bJyhSqJeztMrKqlps7C1eYjMWDXDdg9vbWvj9NIEDnZZaR6w8+KGZgoTtJxfncrcQjOtAzYOd4/Sa3Pz3IYmrE4fk9IMXDkrk7WH+6lMNxIMBmkZtJOkl7O4LDHihn1+dQpvb2uj0+LE7vEjE4e+T7NWTq/VxZKKJHLi1Ly9rY23th0lYP361Hx+PiuTz/b08PqWFgQIuHBaGs+vnMQHOzs5IcfE4+saaBmwMzsvjitnpdNr9fDImjoOdlvJilVx4bQ03t/RweLyJN7d0Y7N7eOqWVk8vrae5VNSI76Xk0sSuHzM635z4yC/XJjHga6j2muBAFKMSkZdIbZ34VjG/dvbQt/JgS4rPzYO8MrFk3lhw1GjnqJEDX/8OrLgvvxjKzfOy+GJdQ38fFYW/mME/Qe6rCwoNCMSQEGChvOqU/B4/MRrZVw5KwuVTMT21mEsDi9f7uumoc/GB1dOJVYti/Ix0MjF2I9ZpOTFa8JEtq1NQ1w6PZ1r3t4V7rKtr+2nfdjJO1dM5d0dHWPWuzbOKEvkxvm5uLx+cuLUJGjlBIJBjEopSTEahm0OBuw+lFIRNR0WHllzNMnw05oupmTEcP7kVMpTdBNaPx/qtlKdkY5QAGeUJTI9K/T7tDnd9Nu8xCgk6NShzp/V4eP3Xxxkb+cIxUkaLj8hk70dI7w0zkvi45ouXrxwEmmxGg53j/DCxqYIC9y7Ty/EpIrexWebNVGPjUdL/ygdFhd2j48UvZLCpOjO3z8Sx3bBIDTyDAQCEzz7n4/jhf0nwNbmoQlbTFq5GKVUhEw0cWH8KZEbryU3/r8v5MciK07D5TMz+NWHR3W/SqmI8tSJfzQHO0eo6xulZ8RNskFBrllFVXpMuFj8UD/AzWPt0PmFccjFIj4fK3Qb6gdYfbCXx88tI90YinQdGDff6xt1s762j9tOzg+bs0hEAobsngjWvtcf5P2d7cRp5EzNjGFBoTn8HgM294SRjdXpBjQyCRe/vH1sVh7kz8vLefXSyTT1O1BKRWSYlDT32zitLIG6HhujTm+4qENI3nXPlwd5bkUlOqWUh9bUsnFMYmZ1+vjtZwd4Yll5RGHvsrjY1Wrh2R8auGdxMYN2Lw63j/uWhsxVXtrYwtMrKtnfOYLPHwQBWGwumgftyKQi7vr06IhkR+swys2tLJucQvOAld1tVjqGHUzNMJJrVvPg2SUM2bwk6OV8uLMjHHLy+uYWXrxwEt5ggG6Lm1iNFCECmgbsEUUdQkznJ5aF5rxH8NwPTSQZFFw4NYXFz2wOh9tUpehoHnBw31eHw/yOxn47D6+uY+XUNP749SFunp/Hw2tqeX1zK1XpBuI0MsqSdXQMOxm0e+ixusKtd7vHj1Ii4oZ5Oaw+0INSKubk4nje3d7Or08JJdzdsjCPK17fEXHMVqePQz2jnFycwPIpaax8cRtikRDbWGFVSEQsKk0gXicnQS9HKIB0kzIipEcpFbGo2ExOvAYRAi54bjMlSTomp8fQ0G8jO07DL14OaczFQgGXnZCBQiLiijd2cs/iYn7x9u7w50iJUVAYr+W0sgTWHe5DIxNzwbQ0PtrVEXHcvkAwanTW0GfD4Q1EEDE/29OFUADnTkpGIdGSZpSTaFBjc/nY0TLEgS4rQ3YPCTo5Zo08ysxna/MQNy/IZXKGkX5bdLGanmVkcVk8J+XFkRmrIE6rZHvzIK9vaWVD/QDFSTqunp1FTpySN7e3hb0t9neOkm5U8dja+qjX3Nw0yNxCM80Djihf+0e/qSNreSUmrZuGvlECgdC5SNDKyYxTI5jAQ35v+zAf7+7i1bFs+XSjkgfOKv1JW/bJemUUmbEoUUvcBOl9/wocL+w/ATY2DLBiShoXTk3jtTGSikgo4DeLQrIv4QS74H8F6nqsdFqcOL0BUgyKCZ2cJqXqefL8Clbv78GoljKv0ExVSvTzWgZsPL+hKYIM8+Sychr7HTz3QxODdg9nlCUy7PDw0a5OqtNjuPeryF1TQ5+N5kEHCTo5db3RBhqNA3ZOzDXxuzOK+XxvFw63D7s7mjWrlom5YGoaXRYnZ1YkEa+T85cNzSikIgriNZxcZA6343PNapZUJLH46U0Rr9E/6qEoQYvV6UMoFCAVCfjzd02cmBuLWiGmd9Qd9b69VjdWtw+3P8i6cX7aR9Az5iKWblRy4/xcgsEgMSopF0/L4Oo3d4d2oAYlAkEQAQJuXZjHje/VhIvMi5uaef6CKkxqKTXt0burDQ0DLJ+SyreH+xl1+VBIxHy9v4cUo4KPd3Wxs22Ie88s4YdxPuRLK5Lpsrr4zTi9f2hOHz0ecXkDEd2SI1h3qJd5BXHh47xzUT4mrZyGflsUaXPU7UMkEhAMEmY8Nw3Y+fnsLAbtHvRKCeWpBjRycRQH5OOaTpL0irDH+gNfH+a00kQSdXLe3t5OrEaGRCTE64+8JvpH3fzm4/3MKzDz8c+nMer2sbw6lU9quvj57Cxe3dxC66CDyWkGXrpoMia1dIxj4cOslfHYeWW0DTm5/aP9SMVC/rikhB8bBnh8bT3nTU7hlR9bw7tyXyDIcz80cfOCXB5ZU0e8RsYLF4YijdUyMblmNTEqMbNyY5GKhQgIhRCJx631z65KnnCEIhEJ8PkDTM00hm2XIdTezzVrMetCRd3t9dPUP8pvPt5H7VgOvEAA9y8tQS0TR8hS02IUY0FCPaTFKLhpXg5Prm/A6w+Saw5pxvttXmaPOcMd6hphf5eVlBgVl8zQ8GlNF794azevXjKJHxsi/e1r2oZJ0sujOByxY9+r3RM9WrG6fASCQb452MuAzcOT39bj8gbIN2u4e3ERaTEyEvSR7e6WIUeECVDLoIM/r28gSS8j+SfiMyXrJDywtIR7vjqE1ekjN07NHYsKwmZU/2ocL+w/AU4rTWRjQz/zC81UpRsYcXpJ0iuI00hRiP/5u/WJUNM2zPM/NPHV2HwuK1bFvUuKmZoZ6UHdNOjgxvdqmJFlonnQzse7O3l6RSUnjHONCgaD9I+6mZ0XS0mSjke+qcXhCaCUivnZ6zvCxK8XNzZz2QkZmLWyCZnIACIh1PeNMq/AzJamSJnUiTmx3PLBXvpHPVw+M4PFpYlRhSMlRsHMnNgIbfzPZmbw6dXTCRCkPMVAgl7OmRVJEAz5byOAH345i3mP/4DHFyRWLaUoUcdN7+9l95h5zkl5sdxxagErX9qGQABvXDopasWea1bz8e4uihO1pBtV1B6zOIlRSTirPIHzqtN5ZXMzX+/vIdmg4KoTs7jrtELu+uwATQN2blmYR26cile3tEXsHP2BUOb3VTMzCRLN5sswqhALBbg8fj7a1UnbuJCa6+flYHF4SNIrKEzQcHBsxz4zx8SN79VEjI1e2tTCzJxY5BJhxPunxihRSKOv38xYNRZ7aNFy+QnptA+76Bv1oJCKkIqEERngEIpahRBPAUJBPHa3L2yB+n3dADlxKk4uiuOaOdk89V0DwSDsaR/hqllZdFucdFhcnFmeRJJBhlgk4ECXld5RF8smp0S0fpMNivBsfu2hXs6qTMKglDC/yExRko5ffbg3FLQDbG8d5r6vD/H4eeW8cOEkGvptJBnkdA67uG1c12pr8xDPrqjirW3tTE43ROjFj8DtC1CSpMMPXPbqDvLiQuqJQYebv1wwiSteP+qs9+LGFp67sIqllSmoZCKSDQpsLh9XzMzg+XE67stOyOCuTw+wsDie0mQde8da5yflx4Y07GPKi+YBOw399nBRh9B1+uS3DVw1K5OHxxzv8swazp2czIUvbcfp9ZOkV/DAWSX8aVk5Lm8Ai8PDNW/t4ozyRE7MMdFpcbDmUC+PfRPahQsFcP28XN7b3k7bkJPiRC291qM78D9+fZinVlSyo8USvgYSdHIqU/VA6Ho99vqoSNFjUkvDFtNHcLh3lD9/W8/NC3JJ0Eee664J4mi3twwx7PCRPDF95+9GWpwOs1ZGXrwGp9dPnFpGZtx/Py74Z+J4Yf8JMC3LyIDdzSe7Ozkh20hunBqzVkZqjArRv6ANPxEO94yGizqE2qTvbGsnRScnaUxHPjTq4rUfW/H5g3xfd/QHu7FhIFzYOwZtrD3cz8Nr6rC5feSa1TyxrJL7vz7Ige6RKDb5l3u7eWp5JTEKMQuLzKweR2TLNKkwa+Vc+OI2rp2bw0XT03h7azsCAawYm7/2j4bahS9saGZ6ppEUg5yHzinl0TV1WBxebpqXy20f7Yt4z79saGZKphGdXMznezuRi8WIBAJUchGbGgf5Ym83UrGAJ5ZVsKdtmJNLEvhib3e4qAN8W9vPtCwTa26cQWzQgmzfi/zh9HO5b1UDdo+f1BgFK6ekcc+Xh1h7qJcHzirhxnf3hIvG1IwYMowqmvrtPLaujqkZMZxemsivPtzLCxubuWFuDiVJWq6bm4NEKKDH6sYxgQvYqMvHoMPDvvYR5ubHse5wqDMgFQm5dm42e9ot5CdoI4o6EOYJXPzKNlZOSWNugTmkNfYHIkYeR9Bvc/H4eeXc8+UhOoadFCZoufuMkAzOpJaG/8aklnJyUTxeP0zLjGFOfhw/e20ncRoZi8uTuHhGOs+PC6K5eHo639f2k2fWMOTwopKK+O3phdzwbk3E+8slYrpH3OTEqXjl4sm4vH70Sikb6vv4eHcXSyuSiNfJ0CukSIQwv8jMfV8dpm3IwU3zc2kfcqBVhPzmn/nuKCHP4vAgFgooS1TTNugIfz9HUNtrY9Du4Ys9XXRZnPx6UQFPfdsY8ZxgMLRI+MsFlfSOusPyr/FI1Mm5f0kxqeJB7luUye1fhs7Bn5eX8+GujghnPY8/wJd7u7n3zELahpzsbh9h7cFe1HIxTy2vwOLwEKOS8dbWVur7bDSsb+C0kgTm5MVRmqwbM4o5KqccdXlxTqAf77O6mZIRwx2LChiyeahKN0RkNnRanPz2s4PcsjDSWc/m9uH3B2gZcPL4uNZ6IAjPfhcKFJKJhVx6QiZ7O630j3WzpmYaSY+R8+JFoUWSTCwk16yhKi10rCWJap5ZUcm9Xx2iacDO7LxYrpmdTe9YvPCx2NgwyNWzo2fY5glIwKVJOvQTuOv9IyGXyylL+fdovR+L44X9J4BeKeWCqeksLHJBkAmTmv7VOJKMNh47WocZcflJGvu3LxBk2Bl90x8/+6vrt0eESdT12nhqfQNnVaYgmaA7oVdKMCgk7O+yctWsLCanx7D2UC+lyXrmFcSxu9WC3ePn/q8Pc+HUVF6+ZBIE4eUfmyN2YhCau9/ywV68gQDXnZTNpPQYhmyeqJs1hJLdXtzQzL1Lirl39SEePLuE3e0j3D+ORLWteZiXL56Ey+uPMlUB2Nk6xKjLy7L4TgybHmCF+Wsqlj7MUECF1mDi3Bd34/EH8PgDPLO+gUfPLcPi8KKRi0kzKrn+nZowH2Bz4yCLSuK59eQ87vjkAA6PjyeXVfBj0xDNgzZ6R1zMyovjg3HmOgBLyhNp7rfz4e5Onl5eQVW6AZkoxDYXALNyY9nTYSFzzDP9CPz+ILU9Njy+IC9takEiEhCnkbOkIikqKlUoCM0QTWoJz19QNdYyFfBjwwAdFid3nVaIWChg2Oklz6yhJFGHTCriviUl1HSMoFNIaBl00DxgpzJNz+/PKMLl85NuVOH3ByhI0JKklzPi8rJ8cjI2tz/CyCTPrGFqppGfvbYz/NidiwqoSjOQZkzj/MkpjLpD6g6pEDpG3JQn67l1QS6Prq1nY8MAr11SzZPr69lQf9RKVyoSYlLLQABxBjUGVWSKHYS08VKRkJMKzDz7fQMigQD5BN4TSpmI7hE3j35Tx3Vzc3h8XSiRTiQUcMPcHBYlOdAeeB5B4zqWxZey7MoLmf62C71CMqFtq83lpc/q4XCPjVs/2Bt+/PM9XdyyMI9EvZANY5yNYJAwb+T+s0rotYZMkn6oH8Dq9DIrL5b8eA0ioSDC3GhRaQI6uZiVU1IRCgUR8cVH0NhvQyoWopKKEIkEWJ0+TitNRCIRM2B3R4UEOb1+YjUysmJVZMRqeG5lJa2DDhRSEelGJTnxOnLiYWZutC+8VCplbqGZNIOCgCCIViomPkbF/g4LA6ro+06eWU1ggk5VlknFkopEPh7LdI9Vy7h+Xi6jbj9f7+tGIBCQFqOgIPGnJdT9O+F4Yf8JEfdvIs2YCPnx0W2jSWkG9Mqjl0ScTsG5k1LY33kg4nmz847+SNuHolnmu9stXHNSNmpZaE7aN7aCFwjg57OzyIxT0zPq5qn1DXQOO1lamcSkdAOf7+4kTneU3PbaljY+2NXJnYsKaOiLvAmLhALEIgHnTU7hh/p+7vnyMKeXJXDFzAyS9Ao6x7XnlGM3ZqfXz31fH+b00gTsbj/fHo6eg685EDIFqUozhFudR1CWoic7Tk1vz14SAUHvXoo+WQCAZeqvmJ45j1itHKNKyoaGfq5/p4bXL6tGJhJS0z4SQfKDkD3swuJ4TGop8ToFnSNO8uM1qKQi0gxKzBoZz62s4pnvG/D4giyvTqWx30bLoIOrZ2fy+d5uYjUyGvpszCsw883BXkRCWFyexG8WFdDYZ+eB1YfwB+DnszOpStPzxLJyPt/TxTeH+kiNUfD+znbuOr2QOz/ZT8ewE41MzB2nFZBikOPw+um0OFFJxVz/zm76baHv8f0dHfz61HwWFsYhFwqQjZ1fhVTI6gM9rJyaxkOra/lsTxffHOzlpPxYbpibw5/W1bOleYiXLprEgN2D3x/E5QsgFcOpxfF8OWZEckpJPE+O8wcHeGBVLcVJOuRiIbW9Nt7Y2srppQl8uKuDwz2hlvPSyiRevnjyWNSohKtnZyNAwIaGAdJilNw0PxeRkLBkKiVGztlVyWEJJYSy57c0D9LYZ+esymQcXh/Lq9PYUD8QLmoysZDZuXGsO9SLRCTkrS2tocWLN4DL66fIJEK7/lcIGteFrvu+Q9D8A9+tfJPr1rewpCI5HHpzBKeVJfJDfR+f1kSaDXn9QZr67UxKiyE7Th2RImdSS5EKBcTpFVz5+k7sY4ujd7a38+Sycp5ZWclDq2rpHnFxRlkCZ1UlkzvOJ2IiH4t4rRyTSsbFM9Lx+oJUZ8aQOebwlqRXIBMLIxbOsRoZlamGcKLbEXna/wTZx6hzipP1uHz+CC6McsyMSCmOXmSVphj4+Swhp5cmYvP4SItR4vMHuOWDvWEuQkWqnt+cms+k9H+9Bv6fgeOF/f8oChI0nFpy1LUsK1bF8impJBoi06IqU3XceVoBr29uRSENGc/kxB59jlEdfXNINihI1MkpSNTx5+UV7OkYwer0UpasoyBeE+WGdu9Xh5mZbeLqOZl4fMGwzAzA4fHj8gW4b2kJt320j9ZBB3qlhF+fWsBbW0Is3IVF8ZyQbeKVH1u4aGoa95xZxB+/Okx9n41kg4JLZqSH27H9o26UUjFyiRD5BB0FtVyMNxBkSkYMWxoHOTTW2ZiSYSBWI+OBVbW8cHohKGPAcXRXr7A2c1ZVMvevOkzPiIvTyxK4+/QiAsEAo27fUbObY99PKub3i4uI18rw+AL84cuD7Gi1AKGd8+PLKnjwrBI8/iCXvLwjXFxPLjaz9mAfOWY15Sl62oYdLCgy4/MH6LW6eOybOvRKCc+tnESMSkzrkINfvr+H9mEni0oS+MPiIv6yoZnpWSZuereGO04rRCER4fb6aRm002/zcOcnBzjQbeWGeTnh9z2C575vojo9hpp2CzlmFzFKMb1WF4vLE2kZcPD0igrqem34AkEK47WsfGkbvVY3p5bE8+rm1rDNb6xaxhPnl7NiShrFSTrW1/YTq5FF2eh6/AGcHh91vU5+9/lBcsxq9nSMhIs6wEe7OkkzqmjoHWVRaQKVKRpuPyWfa90+xCIhCrEAsVBI9hjBSSeTUp6sZV5BJUP2ULv75Y1NVGcaGXJ4SDepePLbRm6cm80LF07iu9o+ZGIRJ2SHrFY7LE7+dF45zYN29naMYFTLsLm8zEySh4t6GKPdSIcbuP3UU3F5/Tx8Timvb25FKAhJBmUiCARCfJVjISBkSHPbKfm8s62Nbc1DlCTruHh6Oj5/yGHRfkzr/cVNLfzpvDKeWVFBEDAqJMRoQwX6UNcIXSMuvL4AV56YyXNjoxK5RMhdpxdy20d7wxyMFzc18+zKSjLjtBSZlTx8Thm/+/wAA7YQX+MPi4soTf7H74QnpRuRS0ScUZ6EzeUlyaBAKxNTkhLt4AiQG68jN/7ocTzw9eEIguHuNgs/Ng4dL+zH8b8bZSkGblmQy7mTUnB7/aQalRRM4PpWnGSgOMnAnLw4xAJINUWS3jKNShaXJ/LpGBteJhbym1MLwm2v6gwj1RmRP6bNTUNROtANDQNcc1I2eqWQv1xYxRd7u+kYdrKwKJ6SJC2lKQaeXl7JmoM9VGcYueHd3eF5+5f7ujmjLJGZ2SZe3dxKbY+VP5xZgtcX4It93Ty6pi5840uJUWB1egkGYVl1ChsbBsI8gNBOLJbffn6A351RxD1nFtM61pHotbr45ZhUb+twBsMnvkhpwzOIunbgyzmFrfl3cO1rR2VNH+/uwusPsrAoHp1CjEQoiGqPn16aiN3to7Z3FJNKRqfFGS7qEJphPvD1YV64sAqpSBixOHhjcysLiuIZGPVQnWHghY3NvDI2qpCIBNx+SgGPfVPHqNvLmoM97O+0MiffDMArP7YQr5PzyDklDNq9XDs3hw93dvBj4yBZsWoeWFrMqgO9HOgO3Rgnymh3+wK4fQE+39PN/q7DPL28EpvHzzPfNaKQiKjrtfHLhbloZWIsTk84V7wwQRsmb0Eo0exP6+q5dWEeuWYNLQN2LA4PGpmY0XEta4NSgkYhob/dgi8QpCBBy5bGwajj6h910TJg52C3FY1cgkIiZO2hPlYf6GFWbhwn5Bj5rn4Ag1JKvllNol7JusN9CAQCkvU+AoEgLm+A00sTKYnXcMeifFoHndz0Xg2/PrWAkkQtIy4fV8/JIkEn53efH4xQKFw1K5NPa51cH1eEqC+y04VIws62EeRiAZXJeirP0yMUCDAoxfz8zRr2dY7wxyUlbB8nZxMJBSwsjueat2sYsnu4YEoqjy8rx6iSIhIK2dY8GN5Bq6SicDiS1enFFwiSbY7cDTf1Wvl8b3c4F2FymoFnVlTiDwYwa+TU946GizqECJuvb2mlOFFLgl7J6WUKUgwKhh0eTGopJckTF9rxGLKFRgXHbhr+GoqT9P9fLm5uj48drROP0v6v4Hhh/z+MjFhNuIX21/BfOSoVJum5elYmi0oSsDg8pBpVVCT99xIT2QTmPFKRkF6ri998vB+JWMgvF+Ry6QkZpBmUSMaeb1RL6LG42NsxEi7qR7D2UC9Pr6jkytd34vYFWPb8Fp5dWUmSXhE2G4nTyPjFrGx8gQD9Ng+vb27hVyfn09hvx6CUMCs3FofHy5UnZrGlaQiRUMCfv22IIDpBSFO9yZNC5slPIrS286Mtga6h6PnjmgO9VKfH8OaWFq6ek8OZFQGc3gB7OyyUJumxOD1c926oYNz8/h4uPSEj6rx0jzhx+gKMODw8dHZp2Aq3psPKzQvzaOizY3f7IxLHvP4g7+1o57ZT87n3y0NhotvBbisLi8xMTjfw1b4e3L4Ar20OyTHPrkri6RUVaOUS4rUyfmw82ioWCQUoJKKIlK5zJiXj8viwOL24fQFcPj92t4+VU1MZdfo4uTieHxtCOueadgunl4Z02+IJyKP7OkZwePy8sqmZMyuSeW1zMzcvzOXZ75rosbpI0iu4+4xQR0EyZo5U32ujJFlP10hk6zrTpMbjC5ATpyEYDPD6lg4+3t1JrFpGjFoaMbeflG4gy6Ti3bFZs1Qk5NkLKhmwuqlM1aJVy9Gq5cjFAh49txyjUkyHxUnLoAO9QkKjxx4lO3x9cysXz0inv/p24r9YGX48mFCOz5hHlkeJJxBka8swcokQhVRE84CdW0/OY9juQS4W8cyKSt7b0Y5aLubsqmRsTi/nT07llR+b+a6unxk5Jl7c2IzN5SPVqKI4Scv8wjgKErSsO9SHViHh2rnZGCcgjw06vAgEAi6ans6nNZ1sbx2mtm+U51eGZJQWh5xXL5nMj42DPD9m4Tvi8OIPBGnqs5FkUCCTCPH4g3SPuJGIRsgxayc0sgp9t8N0j7gZdXlJ1LvQK8Q/+axbJhUzNdMYTqk7gikZ/zd263C8sB/HPwB5Cbqwx7vD7SUo+O+Z/xlGJeUpuoib4sUz0nny24bQLs0Nv/54Pw+fXUr2OAlJvE7JeZNTODyBxj1Rp2BfhyVi/tc25MDh9vLmZVMYsHvoGHLQY3UxKy+Wm96toXnQwc42Cwk6Ob5AKIe7OtPIhroBdrYOISDktvbs9430jS0kpCIhWbEqYpRSfv7RAa6bm4NCBip39LY2XienacBOkkFJ25Adg1KKUSBgS+Mgb2xpDe9IP9ndSWGilhSDIiowY16BmQOdI9z56QHOnZTM25dX4/QFONwzyuNrG7hzUUE4OGQ82occBALBKMb7moO9XDMnm91twxFeAR/s7GROXhw2tw+r28eMLFN4sfDypmZ+uTCXnS3DtA07mFdgZlqmkW6Lk8b+UCtcr5RQ027ho12dYe7DzJxYbB4f62v7+dN55SyfkjqhY9fUTCMqmYhbT85jwO7lpHwzXn+QJ84vh2AQjVyCUChAEAySH68h3ahkX+cIi0oTONg9QvuYAuCk/DgOdlv5YGeomL940SSCwdDrjDi82Ny+iMz6HS3DzBwn2/T4A2xrHmJappGPa7pRSPqoTDVQnR7D3AI1u9uGaey3o5KJefSbes6dnBz1WRxeP0aVFGdCNV8v2cegzUNGjIwijYtHtrrIibNy39eHw4uk8hQdvzm1gE92d/HamMFKaZKWPy4p4eVNLVz00nZSYhS8eskkTiuNp3fUzXVv78Y6JuG77WQjPl+QqZlG/vDFofBxbGse4uWLJ5Hi9NE76kYoEOAPBvnd5wc43GPDpJZy1aws3tjSSsewE5vLx6FuK8NOL5sbB0k1qnjxoknc++VBrp2bw28/O0jzgJ3TyhKQioThrktZso47Tyuc0BZ6T/swb25tC5P0zFoZD5xVSoLdjV710+aoz8qNZVvzIFubQ7+NmTkmpmT+RNq3f0McL+zH8Q/BgU4LzQMOBu0ekg0KknVyMs2asGZ5PIqT9dx1WiH7Oq00D9iYlB7DrtbhcCDFEXxX18/8wjh0yqM3gYo0AwiI0GKLxtK1fvnBnoi/N6llVKUaGHX5+PkbO8MFMyNWRfM4Ilv3mBa+e8SFu3GI93d0cO6kVAbtHrY2D3LxjAxy49Q09tvCsiKhUMDSylT2ddlIi1GSa1ZTmqQLO28JBbByahqN/TZq2keYkmHkd58fYFl1ajhs5AgsDi/58RoMSgm/X1zE0+sb6bG6mFtgZuXUtLCb2ns7OihP0bOxYYCzK5N57Js6znluM0+eXxF1jucWmCdUB4iFAoQCAfMKzPzui4MR/9c94kIqEjLs8DK/0MyWpkH2dIww7PDyfW0/N87LQS4VEfAH8QYCdAw7OKsiibx4DU39kdnZb29r549LitErJAgEMOIKBSHJJSJ+NjODFzc2o1dKuWhaGpmxaj7d3c2kDAPXvX00ytSokvLUikrah520DNrw+aEgXsOj55bRPeJCIIDHzy1j0O6ld9TFukNHswS8/iDbW4YoStRx3ds14eNaVJLAzBwTG8ZMevzjLECFAsiKVXPpqzvCM36tXMwzK6uYkW3C6fVjUEr5dE9XOMxHKRVFMPpn58ZRlqLjoe9aIlL37jmzGK/fwSc1XRGdj5r2EZoG7Ly6uSXc8dnbaeUvG5o5rTSez/Z2sXJKGmlGDW2Ddg50WcNFHeCTmk5+uSCXPx5j9uQPBNneMsxHA518sreL8yensL1lmIaxhdiAzcPDq2u59qRs3tneToJewebmIV4cc1Pc3jLM6v09/OXCKn722s4wk/+JdQ2cXpoQ1tHv6RhhY8MAmSYVMcfwbVoGHRHM+16rm2e+a+R3ZxT+TYU9GAxO6DT3t2BSegz3Li6hddiBUCAgJUYRsUn4347jhf04/m4c6LLw/Ibm8Jwd4DenFqCRi0mMmXiudoQ92z1kp33ERYpBydWzs3h7W1vYxeuS6elsqB/E5fWTGaumMs2AQCAgLz60o6nvt+H1BkgyKCAIZ5Ynhtuq501KJidORUmygfu/PhSxC/b4/CTo5OGCfgRGtZQrXt/JZTPS+Xp/d1hjv/pAL5efkIFMIuSCF7fh9QdYVJKAQSUNt7J/f0YR9y4pYk+HlT6rC6lYxN6OYTJj1cSoJHj8frz+INUZMby8qTnieE4piaeux4paJqYqzcDdZxTh8wfQKMT86sO9ESYxPSMuqtNjGLR7eOvyajbUD6KQiPj94iKeWFfPkN3DqSUJnFWZhE4pITtWHb6ZQ2ixMSfPxEsbW6JGB26vP2wSkxqj4OkVlXRbXASABK0MlUTE1tZhnv2+CblEyI3zc/mhYQCry8ug/ej8f+WUVMQiIfd/fZjUGCXPrqzCpJJw8/t7aBl0UJyk5f6zSpCKRNz9+QEsDi9LK5J4YUPkeRm0e9jSNIhaKqJ5wEGGUYXd6+f+jw5T22tDIRFx3dxsqtL0vPJjDz8eM3NPiVHy208jFy9f7uvmpvm51PfamJMXS/o4k5QpmUY+3t0ZQdyzunxsbRpkRrYJg1ICKCmI19DUb+O1za3csjCPr/f30DxgZ0GhmelZJrY1D0dF6T60upbHl5Wz5mDk4hOg2+JCJo40A/qxaZAzKxJ5dmUVZo0MkVCASi5ELolcKB/uGWXU7ZswDtrjC5AWG1KZGDWyiOsACI+Y7ltawu72Yd7fEWm0Y3P7aOi3Rcnzvtrfw1WzssKqke3NIW/7Y9FnjXZnrGm3RHzOiWB1eqlpGybRIMfqDGUZZBllyOX/M5VRdryG7AnUP/8s7GwZ4mC3lR6ri8IELdmxavL+Sj7HPwrHC/tx/N1oH3JGFHUIeT5XpOr+y8IOUNc9wrs7OnhxjPSlkYm5aUEuD6w6zEsXTeZ3nx9g71g7WK+U8NTySmZkm1DJxMRpJHSPiNnRPUyX1YXPH2Kfv/2zKXh9AUQiAfs6RvD6QX7MTP/xtfX8+tQCfvXhXhwefyjt7sRMeiwuxEIBpcl6XtjYEn6+SChAo5Dw2DdHSV+f7+3mkhnpYbOWx9fV89zKKk7MMdI/6sHm9pFuUuD2BpmXb8bm9vH0igqe/b6RX59awKc1XVicHpZNTiFWLUOAgJ5RN4+srgvv+pMNCpZXp/HwmqMOXGKRkCe+beDKEzMpSFBz04I8APpGHBTEa/D6gyTpZdjcPlzeIL89o5D9nSMc6rZSnKQnSS/nw11dzM6LY1/XCM0DDoQCOL86NYK41zbkZFPDIHnxambnhUh3n9V08uuP9wNwzUnZ3PL+XmxuH0WJWpINoQJSkKDB4fXz0dZQMl5jv52tzUM8tbwiLPfb32mlY9jJc983hbsK/mCQYUd0m37E6cXi8PL2tnbEQgF/WFxEba8NgQDmFsTh9PqxuQKcXZkUVdhNKlnE7vgIkg0KzihL5PO9XezrHOGu0wv4sXGQ86tTona+ABanl65hO7taLfxpXT3+QJCllcm0Dzv4/RcHmZFl4vdnFPHQ6lre3NrGtSdlT/g5/P4AM3NMUb+VbLM6qtiVJGpp7rehVUiZWxA6/3EaJSWJIcez3nFFs33Iwc9mZkaY/GhkYmJU0rBtq9PjR6eQRHnFlybryDIqaBu0TzgnF02wY5aLhXjGdYOmZhkRHaMwaR8aJdkQnZdelWogViONenw8drQMoVNI+ONXtaHIY7WMWxfmMTnNQNq/SXraX8Oe9mF+8/H+iLHhb04tOF7Yj+M/A8FgkCF7tJTL6fVHSXCORfOQM1zUIeQj/uqPLTy7opL6Xlu4qEOoXf3mllbMGikEAuzvsXHDu0d3P8kGBTfMy+HNrW18ua8bASFr34Z+O/MLzaikIsxaGXcsKmTI4UEtFfHGZdW0DDqI1choHbTzY+Mg18zJRnrMTSrFoKBhgrn+lqZBylP0rD3Ux5DdgzcQ4PJXd1LXF3LZun5uNt0jTtKNSqZnm3h5YzM7Wi3s6RjhxNxYsuPUbG4cZH6BmR8bBtAqxOGiDqGo39ZBe9hA5vTSBDqHnZxWmsDW5iFyxyVexemUYQ+AYbub5kEn172zG6vTh0Ym5tIT0hkcdXHf14cIjmWdL6lIIsWgJNmg4NkfGllfGxnI0TvqIskgx+r0IBMJI/zvhQLCO7kDXVaWVibxQ10/c/LiIkJiICRZbBtyRljwBoJEjAo21A9wTlVyWHoFId+DggQtfxl7zBcI8kP9AHlmDQuKzHxf188XY0Ytp5cl8MSyct7a1oZYKGBZdSoqqThK+51mVNI25OD5sWPsHnFx16cHeP6CKu765AAXTEvn98eMKE7INrG91cJvPtkffuwvG5q49qRsfqgTkRWr4qPdnWHFg1gkRCISRNj0lifrONxjIyVGyazcWL6v60ctE3PhtDQ6h50RLoKxGhmXnJDBRS9t4y8XTqKhdxShEDJjNVRnGnlqeQVf7euha8RFUaIWi91DeraCJ8+v4Ie6fpQyMYk6OSqZKGw89GlNJ1eemMnDa2rDXZELp6URq5aRYtJQZPNwfnVqmC0vEwvJiVOTF6+JMjC6clYmUrGIU0viGXX6mJ5pRCWNLCWdFg8/Ng5wzqSQT0AwGNLBXz8vh6T/hh0/4vSQGqPggVV1YZ+JvlE3t3y4l5cumvQfU9gb+uxRXKAn19dTnWGg7L+Q7P0jcbywH8ffBYFAQJJeHsWazolTk/BXDHr6rNG2kS2DDmLUUr47xsADYF/XCO/t7GBevplHxnbPsWoZhYlaWgZD7PAjN/ogoeSrX8zJZtDm4cULq7B5Avz8zV3hgrKwyMwvZmdx5Ru7wm35r/b1cP+SYqZmxoS96gdtnglT4cbf8GblmjAoJNSNFRG3L8CDq+t4/LxyhsZ2opax3ZJ3XEhMok6OplJCZZphQjfAg91WHlhazOamIaozYuiyuBiwuZmUZkAlE2FzOlErIndGPSNO/jgWTgGhBdOf1jVw84LccGG1OL2s2t/NRdPSyTKpyDRpWEdkYa9KNWBz+7C5/SjUonB4B4BoXHTvlAwDcWoZL1xUhUgg4I0trXj9ke1bmVgY0fqXiIQRhX7I7mHA5uZXJ+fz1rZWtHIJy6tTGXV5I7gXLq+ftBgFfaPuCAOhz/d0U5GiZ1qmkZw4Nde8vRuZWMiTyyt5an0Du9sspBuV3L+0JKwsOIJAMNTSvnpONv5AkDsWFfDW1jaUMhE/n5WFWChg7cFejsXmxkFev6yaXa3D4esO4J1tbdyxqJC/bGiiY9jJlIwYbpiXg2eM9Hj17CymZcYwaPfyye5OukZcnFIUz18uqMLjD6BXSbnrk/08vaKC7hEXj35Th0go4OLp6ZQmavH4gnxS00WMShqKDr5oEmsO9fHejnZkYhEOj49hhxepSMjVczKB0Ey9y+Lg8fPKsbl9xGvlpMbIyTaHSK9V6UZEQgHpRmXYW79xwEZtzygPn13KzrZh2occVKXH8O2hXj7b001psi7kCHgMca6xz8ZzPzSx/nAf5Sl6rp+bgz8QpDBBCxM4x42HAAE2t591hyPPdzBIlMHTX0PbgI0AYNZIUcj++y7BPxquCTpFNpcPr/+/H0P8o3C8sB/H340EnYxHzi3j4dW1NA3YqUozhIJM/krbKVEf3arLNauRioSUjOUpH9mdQUiu9vKmFoQCARa7l8tOyMAfCLKzdZjJ6TGYtXLEQkGEPO1gl5UFBSYSDUouf3VnxC5x9YFeTilOiJq1/+6LQ7x88WS+S+ljS9MQFal65uTFsmp/T3hXZlBKOLU4gRvereHkongun5nBFW9ERoZCSFedpNcDobbnscExiyuS+GJPN80DdlZMTeXLcQUCYGa2CZlERH6ClgdX1YaJdxKRgN+cWoBIIKAqPXQe+0ec1HSOYNbKqeuNnKdC5A5ZIxezoCieVQd6SDTIcXp8nFOVzGd7ulDLxFw8I500o4LmAQdmrRyRUMCc/Fje29GO1eWjoXeUmTkmknRyqjONPPFtA00Ddk7MMfHoueVcMS78JzVGSW6cOkIJ4fJ6+eWCvHDQh0goYFJaDBsbe/nl/FxSYpTYPV62NFnIilWH2fdnVSWzen8PuyZQAtT12phbEMevP9pPrlnDnLxYPt/TycxsE7efko9irIUcr5WTqFfQPeIMt7RdvgAPrDrM/UtLSDYoeP6CSmxuP5e9th2RQMj8QnPU+yXoFXy1r5u2QQfXnJTNpzVduDw+VkxNQyUT8/szihALBeiVEoJAQYKaeK2MAbuH+1fVRrzWjtZhTimJ53DPKCflx3JmWQIjTh93jOsS3PTeHp5aXkF2nAq9QkJDn41rZmfy5pY28hI0UQoIjz9AhknNsysrkYqF9FrdoWvJrI5woDuC8tQYFFIxD62uDSsHoJ0FhWZ+uSAHuyckIz1yHe3tGOG2j/bx1PJK8sf91vttLjaMZUvUtFuoGbtmb5iXw8IJzuN4aBUS5BIhifpo/32tPDoKeyLYXF72doywuWmQ7S1DlCbpmV9kZvIEzP2fCpmxqqgQpVOK40n8J8W6Hi/sx/F3Izdeh1wi5sGzS/EHghiUkr8p+z3TpOKWBbn8aV0DHn+ABJ2cOxYVkp+gw+sPcPcZhTT323nmu0Z8gSBZJhXnT0nlra1t3LIwj7WHesMRpPs6R9jaPMjKqWm8Mi7CcUlFIjtaR9j2fTOT0mOYkmmMCCXptbqiQjz8gSAauYgzyxM5vTQBjUzEXza2cEKOiTPKEwkGwesP4A0EeP3SyTi8fsRCAYk6Je1DkYuEBL2CQCDIBzvaSTEq+NN55Ty1vhGL08PSiiRKk3Q8/0MTFSl6ylP0LC5P5LM9XQSDIYnOvEIzJqWEpn57BJve6w8lvd2yMI++YTtxBhXbWy1c8/Yuvr72BMpT9OEb6hEoxrgGJxfHo5aKKUzQIBOL2No0RLxOQduQnUtmpGN3+3l5UwtVaQbu+fIQWbFqeq0u0o1ynl1ZxcFuKz5/kLJUHU63P6ILsr42FBn74kWTWHuoj2SDgklpBtJjVTywtIQdrcP02zxsbRoiw6jk1Usm0zHsHMtCF1CREoNOIeWuTw+wv8uKVCTkkhnpTM+KIT9eS55ZRbIhg/d3dESpKPLiNQSDIZMYrULCrrZhDEoZFakGNjUM0D/q5oyyRM6qSmLtoT6KEs3EaeW8v709LA385mAfbYM2fndmER/XdDJoC3VZEvUK9EpJOCdBIRExK9eETiHF7e3D5w9w/dwsWgac3P35QfyBIFKRkBvn56CUijgh04heKUevlGNrHYow4Dkxx0Rxko67Pz+Izx/AHwxy/uRkbv/oGIMbYNX+Xh4/r4y7zyjilg/2kGpUs75ugKw4VYRjI4RGGUcsh+/69OhrnTspmctPSKdrxM2wPdSNKoyTo1Qq6bQ4xxX1ENYc7OXMiiRGXd4opUVjv50eqyuisAsFAvLiNRHObxAag/wtGnajTMivTs7nhndrwkTG6nQDmbHRXbOJUNdr5YUNzXxbG/ocW5qGWHe4l2dWVP5N96V/BKZmGnlmRSXPfNdIy6CDhUVmzqxI+h+b9Pz/4nhhP45/CFKNKlKN/7OLNiNWzfIpqVSmG7A6vCTqFJSMZb2XJBvoG3Vz92dH552NA3bWH+4jQScnK1bFXZ9Ftuvbh5wR7eJzq5L5en8PX49LsStK1LK0MomPxixNE3RyjuUMrZiSyrDDy83v76HX6ub5CyrZ3DQUMasFOKsyia3NQ3QMO5FLhDy3sopD3UflSEvKk1BKhFz0yvbwyv38yck8sawMbyCIWSNlwObl5YsnsfZgH+c+t5m3Lp9CWbKOEaeP/V0jXPDiNl64sCrcxj/283p8AeoGHPiB17e0EgjCI2vquO3kPG5+fy+dFicSkYDrTsqhOFHDSxdPQi0Tc6jHyh+/qg3vhAEun5nBjpYh4rRypmTEUNNmIcWgYMjmRieXYHcHMGtlTM8OtXe3Nw3QMeyMutnvaB1GJhGxcmoqiVopOlWoo/DF3u6IArO5aRCFTMSCwni+3t/DZ3u6SNDJuWh6elgZ4fEHeO6HJu5fWkJKjIKcsdax1xdgU8NAuD07I9tInEbGoM2FSibmto/2hYvC29vaeOTcMr452IfXH+T9cd7wSTo5vzolP+wq2NBv4+b5OYw4fHSMS8h7an0Df1xSTK/Vjd3jQywUcu+XhxAIBDy9ohKnx8fhnlEeWn10hu3xB3h6fSO3npKHdNwMujBey+2n5nPHJ/sRCARUZxgjCJLPfd9EWZIO7QSZ7HqFmFGnmxNzY3nhwklYnR5OK0nglc0tXD0nm8e+qcMXCCIQwI1zc1BJhTx0THfgvR0dzMmL4+dv7gJCRLvHl5Uzt0AZZeV7FMFQgM4xUMvEUdnxMQoJF09P5+7PDoQXGqeWxJNn/tvm47ExGiqBVy6eTPOAHa1CTIZJRWmy/m/6+/5RT7ioH0Fjv53mQcc/rbALBALm5JvJNKmweXyk6BVolT+tdn88jhf24/iXwqCSMS0z+oLf0jhA53D0DH57yxAPLC1FKhZGtbUh1Mp/fmUlQqEAuUTEyhe3Rfz/gS4r8wrMqGViLp8ZcnpbMSWNhj4bDX02TsyNZU5+LNe8tTvcpt3VOkxJsi6qsMfrFOGISpc3wFPfNfDm5VM43DOKXCJEIxfzu88ORrTj3t7ewbQsEydk6WkadNIx7EQhFYXTzw72jPL7cUYjEGLxXzU7K+pczC+MQyYWcqDLyoDNw+2n5HHGUz/yTW0f84riuWpWBskGFTKxkM9qOsO8hBOyjSwbC5QZD7FQwPyieHa3DjM5I4biRB2FiRpsbj+tQ05+bAztepdWJjMtU49AKMSgim6PqmViui1OkrTycFEH2FgfzZuQioR8tLsznGk+ZPfw64/2ceP83Ig8bpvbx4zskJlMY58Vh8fPn5aV02t1IxIKMKqkLH9hK8+urOSVH1sjCpTbF2BL0yBnViTx4KpI1nvniIumAXs4E3xhoZkYlZT3tnUwZxyhzeHxIxQKue/rw1HXXcewg2e+a+SUkoSomOJRtw+tXDImlQtBIRMzvyAWs3YSHl+Ar/ZHjl8glNF+3dxs1h3uC4+WZGIh84vi2dJiYU6+FINSgkoqRCkTY3F6+XR3JzfNz8WgkpIao8CgFNNn9URY8x7BwDjv/1G3j3u+PESCTk6KQUGOWU39uFFOYYKWLU1DnFWZxDlVyRELo1+dnEfVMaEv2fFabF4/j5xbRuewE5NGRrpRSWGiPuo4/iskxWhIitFMmAr31/BfRWP//yni/z6kmf41ZL/jhf04/u2ws2WIT3d3UDyBD3VpUqjYGJQSllQc3XkDlCRp8fkDIbmZx4dJLeOyEzKidOO5ZjWPnluGUiri8td24PIGuHNRPhdMScUbDOIck8BBaJaeEqNidr6Z7WO7c4ApGTFRrcnGPjsKiZBFxfEMOTwM2r0RRjhHYHf72N1h48Z3a8K7+6UVSVx+QgZtw9HPb+i3kayX88BZJTy4qpYhh4cFhfGcVprI5eMsUufkxbLuphNZ/MwmBAK489ODyMRCfrkwj64RFzqFhGlZMVw2I4PaY2bwZ5aH5GJHCGmrDvRySnE8V8/K5LvOAZ5e3xgmR25rGeaORQVcPjOT/R0W5uTFsX7cDuniGem8s72d7Fg1aePeozJVz5pjSGgzsk3hTPBkg4L8eA2N/XbcvkjyUYwqRH7a3jzI7R/tp6HfhlAAF05LZ/nkJDpH3KHii2BCiZvN5UMiEhCjklKeoqd/1B0ebQgFAmRiIRdOS2NqphGn10+yUUGaUcnj55YiEAgYsnsxKMVRbHcILU4a++2IhYKo/zcoJaQZlaiPmQ/HapWoBhyoZGLitdFck3STkoJ4FS9cNImtTYNIREKmZMTQOuSgIF7L29va+GBnB2aNnPMmp+Dz+fjd4iJkYiEPrj7MlqZhzFoZz62sjFIGSEVCDKpIMlnzgB2by0d1ppH7l5Tw7vZ2drdbKE/Rk2RQ8Kd19STpFVx2QjonFcQxMOoJdVDiJu7SlacYIGXC//rJkaCTs6DQHHGt5ZnVpJv+tlb+/wYcL+z/4WjotdIx7MLp9ZNqVJAVq0Yu+ff5WruGHcgkQozqv5000jRg55zqVN7Y0haRQKdXSvjZiZnoFWLMOiUXTkujLFnH1uYhKlIMKGUi2oePSroglNV8yYyMsKNWVqyaRJ2cK97YxWPnlqGTizmtNI6KlBieWN/A2kN9KCQiLpmRTv+oi3mFZh5aVYdAEOSxc0vpG/Ugl4jw+QNc+cauiONeWGTG4w+glEtQyiXIxKEktS/3Re7IMkwqfv/FoQgHsY92dzIrN5bUCdj3Cwrj0colTErV8/wFVfSOugkGg9w4TrcMofn20sokXrmoGpVUGA6duffLQ/z29ALOrkpm1OUjEAySZ1ZHzHnTTUo+qYnMfv96fw/LJqfg8QWiiuVzPzQxI8tIpknFssnJVKTq8fgDyMUivjnYQ3acOsKRLRgMMj3bGOHOlxWrQjWmt15amcyQ3c3uNguVqXoKE7ThPPH5hWbSjUr2dgzzyo+tYaOVQDAUaFOVpidJryDTpKJlMCQL3HyMpn1alpG2IQfLqlNYvb+XRL2CO08r4L3tHaTFKHny/HJy4tRkxGrY0TJAVqwakUDApsYhvt7fQ6Jezo3zcrl2TjaPrq0Pv25RohaNXEyGUckHOzu4cV4uT61vwO7xo1dKeOCsUuwuH3/86hBycag4zxizsZ2aaWJfu4XqDAMf7pKG7XZVUhFnVSZjdQXw+AJUpegZdHq55u3dDDu8mLUyrjwxi7ZBB/s7rWxsGODRc8vpGXFx43tHJaC9Vjd3fXqA3y8u4t4vD3GgyzrGYyng092R33VhghajWsqu1mGkYiGBYIDMWBXbWoZo3RlabA7aPeQn6MifgHgHUNttxen1Y1JJSDb+62RpRYk6rpyVSVVaiFtRmWbgxBwT6f/CY/pnQzBRTOBP/qYCwTnA3UABUB0MBneM+7/bgcsAP3BdMBhc/ddeb9KkScEdO6IZyf/bUdM2zEubWvhsT8jwIt2o5IGzSqlMNSCZIJL0/wfdFke43alXiIjTKicMcZno2LY0DfH53i6S9ApWTEllVl7c3/Seq/d3IxOHjFiUUjGT0w34AkHcvgC5cWrOnhS9FdhY38+HuzqpabdEaG4B/rC4iI93d1GeomNhUTyXv7Ydrz/I3acXYXP7wmS7pZVJ7G6zhO1G37x8Cnd9so/r5+cy6vTh9PpJMyrJjVPSaXGzs9XC8z80YfP4mJ0bR0GChh2twzywpIi6fgdrDvSglomZlmXkj18eZMDu5eYFueTEabjo5W1RY4Tfnl5IfryGnS3DPPtDE3aPj9m5sVw/N4fyMSvbpr5Ruq0uBkY9XH9MYQe4bm42L25o5rq5OczKNfHtoT4y4tS8sbmVTeOK3f1nlZCiV/Diphaa+m1cNTuL2z7cF/V6L188id3tFp5YF5mPnm5U8sSyCvITtBzqGuHRtfV8P8aETjYouGdxMXaPjzk5sezpHKG2b5RYtYwDnSNkxmnwBwIopGJGbG7idHKe/b4pghyYaVLy2zOK8fj8DIx6uP3jfVwwNZXP93aHCWxHcNkJGQzaQnPnbw71cnpJIlaXl3e3tyMRhQJP9ndZGHX5eWNLW/jvFBIRL140CYVESEG8CrksNBIaHnXQZ/Py9HdNfLrnqJmMWCjghYsm0T3iYl+HhcxYNQXxGvb9P/bOOrzN8+ziPzGzZJmZ2bHD0KRNmjIz89pB163b+m0ddNitK6wrrMzMDCk3TdMwO2Zmy5Yti/H7Q45iRU6awrp287mu/pG30it6/Z7nue9zn9PrQCYRcsu7TSgkIk6sSSPHrKLIGg2kOfO+9Zw1J51DCi2k6hUIEJCXpEY6mS0+6nTTMuzB7gogFgnQK8WEI3DdK/Xs6nPwyyOLufmdprjqkEkl5fjqVB6Y9IH45ZHFKCQifvtKouDukQvraLe5MailuH3RsJ1fH1PKRQ9txB8Kk6ZXcOsZVTy4poM3dg4gEwv53iF52F3+mLMiwN3n1LKyPDnh/BMeD2tax7jhrUY6RlwcUmjhB8vyp/WP/yYRDkcIh0MEg2Hk8m923O2bgkAg2BSJROr2Pf6f2trtBE4C7p56UCAQlAJnAGVAKvCuQCAojEQiB3Y6+R9F85AzRuoQnfN8dG0n2UY5Vv1XV1/u7B3jsc+iJT+FRMSVywtYkGugLO3ABgs+n483dw1w90dR9fmuPgerm23cf34dC/LNn/u6pak6HlzTzmVLom5an7REibY8VctxVSkADDtcODxh1HIRSVoFEaJlzz09733xf0cU8nGzjdPv+QyA02dn4AvutVCFqA/2zw4vYm3rCMFwhL4xDz89vIjHPutibVuUFEVCAf88o5p8s4LZ2QbGvRnIJSI2tI9y54etiIUCdg04+eETW2LnfWpDN/edV4dAAFq5CJszwNxsI5+1x8dIunwhvvfYJu49t5bqzFlEIhHWt4/SOuyMEXtukgaXP8QzG7upyzLEBcDIJUIkQiEuf4jr32xALCyhNE2HzemLI3WA699o4I0rF/O7o4tptbmJEN1Btw7vXRTNzzWRrJMh7xehVYhjc/HXHlWCVCzkXx+3UpGmY1GeiatXFHD+/CzcgRBamYQNnTaOKEthx4CDez9p5/2GIa5aXsCdH8Wb14iEAu49rzbBP7/N5sbjD6IUC/jli9EFR/OQk6p0HR/t43GgU0i4/5N28pLURCLRio9FI+U3x5QQjkS48qmt3HnWrNhvvweeQChaQhdBzWSfuHfUxT/fb+WU2nRe26fSEgxH6Bpxk6KXc+Wh+dgmvDQNu3EHgtz5UQdnzs5EIhYiEQp4cl0X159cwZ3vt/LwRbNpH3biD8Evnt+BbcLPSbPSWFGaxIjTT7ZRjtMX5NXtfYx7ApxQk4bLE4ipyid8wQSB4ojLj2KKIE8sEqKZJs2t0KpGI5cgFgt5dkMPqyf/lt7eNchrP1pAx4ibHLOK5zb18vpkZcwbCHPru83cfFoVb+3oRy4Vc+Vh+VTvJ3d9R5+LK5/cGtMpfNA4jNsf4m8nlZN9kOmR/w4IhQKEQjHib08B8xvDf+QjRyKR3cB0Bv/HA09FIhEf0C4QCFqAOcDab/YdfjfQPI0b2obOUUbcQaz6r3buXT12Xt7Wz1OToqYJX5A/v76bO8+ehVHhIuUAVrGNwx4en7IzguhNtHnIeVDEnmFUUpGm47b3W7j5tGpsTh9SsZBUrZw8k5zNnaOEwmFahlxs6hyjNFVLbZYeuUTIkeXJceIeoSA6Rz3mCbKp006mUclhJUnoFZLYWE9ZqpZDCi0EwxE6bE7KUrVs6xknRS+nedAZI3WIjsL95Y0GHrlwNg6vj/umBJ9AdMzlkU874475gmE+bh7mqkPzUClkbOwY4XuH5DLs9NE67EIqEnLu/CxWNw/z6yNL6Bv3MuTwkqSVsyDfxPVvNFCTqSd38iapkAoJBCMsLUpCr5SwujlaOv7x8gKufXHvrrthYAKpWIhJLeWkWWls7rTHVOTjngAjTh/v7B7kjg9aEAgEXL2ikBGXn40doyzMN7M438wVj23m5lOryU9Ss759lMJkNZ+1jca0DW/uGOCVZA1/O7mCLd1j1Pc5WJhv5tBiK2Vpep7b1BNzEJs6fZBlUjInx8iEJ4BnPw6FjYMTaGQSFuebWN0yQr5FTVmqjoaBiZiw8fBSa6x/HAxFaBt28lnbCGPuQGx+e2FeNMBFIRUlEKRUHA3F2YNPJ6tMJ9SkYlJJGdpnoaiSiXG4g4x7Ahxzx1ruO68OuViEwxOMc82zaGRIRELOXZjNb17axa+PLuGyRzfFRH13fthKKBxhyOHh+Jp0vvfoplhvfnWzjb+eXIFVI2NwwodEJExI/VNIREQiESQiAWqZmJJkDd5AkJ+sKOAf7zYTiUSDki5elMv3HtvM0ISPJQVmfnFEETe81Ui33Y1Vq6AwWUfXiJO3dsV72wNs7rLz8o8W4vWHyTmA41vHFPHhHqxrH2Vgwk/2F9e+fSfg9gVx+QP02b1IREIKkqcPvPpP4du2lkkDpi6reyaPzWAaFFgTV8Ozs4yYlF/tZ3W6fHSMunlnGretrV1jLMw7cIlNJBAglwjxBATUZRkQiwRsaLcjER28LjXHouKE6lT++mYDLl+QE2vSKExSM+oJMeEN8MKWvr2e25ujYrZfH1VMv8OHRCTgte39JGnk/GRFAX96vZ7eMQ+/PrqUz9pGeX17P2qZmPI0HefMzWTCF+Sej9uQioVctDAHgUCATiEhTSdn2z47SYC+cQ/uYIhUnZyaDH3cbjPLoKR+0JHwHH8wjNMXQqWAumwT9T1j3HxaFfV9DnrHvby5Y4BDCkx82jbCS1O8xC9alM2vjiyOKevbhyZ4bfsAJ85K4+Z3mlBIxJw/P5tknZxxtz/OpCQ/SU0wHOHZTb009jtYkG/mqIoU7vywlYX5JkZcPm57f7LEHolww9uNzM81cfNpVTzyWTtn3reOc+dlolWIEQlALRejk0t5aZ/+bMPABA0DE7FzvdcwxGl16egVEnxTevMOb5DSFC0L8k04PEE+ahoixxyNwD22KoVXt+3dIddlGWgacLKqfoA7z57F6pYRLBoZd37Yws2nVdFuczHiCrCpY5RV9YMcU5mCUSUl26RiUb6ZpUUWVFIxQgFcvSKfSBi+vzQvzgs+RScnx6yKuyFv6BhFK5fwaYuNq5YXxLzxIUqUOeZoZGyrzcW/zpnF5Y9t4qnL5iVUO366opD8JA2NAxOMunw0D04kjJI9t6mHhy6azRvbBxIEeY+u7eSnhxdyzfM7eGtnP5cszuXeyXx0kVDA744tJUKEq5YXUJmmJxyJsK3HAUR48ILZePwhZBIhFz+8Mdby+bjZhkAAfzy+nAyjgjG3H51Sik4uIT9JTec+Qs8UnQKDQopcd+D7yb7jbhCtouwbWPPfgnG3n9ZhFw992sFr2/vQKiT8ZHkhC/IMsXHM/zT+bcQuEAjeBRIbMnBtJBJ5+Ws4/2XAZQCZmZlf9XTfSRRaVRxbmcKrk25l2SYl587P+spl+KAgqnxONygTbBwzTQpEkQMTdFmajmuOKGLME+T93UP4AmF+trKQki8QgFCdYUAjFTEry4hYEEGvlGDSKGgdnEAiEiUEaaxrH6XV5ibbrOTaI4s5Z14WcrGAhz/tonkoesPd2GlHLBIwMmlf+rPDC9nYZeflddFzBf0hbv+ghb+fUsknLTaufHILVy4vTBhvOrQoiWSNDL1CzP8dWcw7uwdZ3z5KbZaBlaVWKkZ1bOkaiz1eJBQwJ8fIhs4xjtFHxXGlkzO5jQNObp8kxJ8fXsjlj8cL8h7+tJMl+RaKdXI2dYww4gyQrlcgEgj460kVbO0eRyMXk25Q8KMn95b/s0xK0vQKrn1pZyz447lNPSwuMHP1igIWF1pieetTsbZthG67hxc393Pe/CwOLbIgF4tQaITMyTbg9IUSRrogfjcpFgmoTNfRNOgkWSfn54cX8PdVzby+rZ/fHVfKmzsHYr/foMPHtu6NPHbxHOblmFjbNkKmUYnLH+LhSe3DmDuAQAB5SWoOKUrixrebWJhvRqeQ8HGzjbnZBpI0Mn43pb/8QcMQy4qT+KBxmJ+uKGRetoHDS5NI0yv5rH2ENJ2C2iw9AgGxKF6ICq+e39xLWZoWpUzEvefV0jbsRC2TkGtRceZ9n+ELRD/sonwzD104m5vfaeIvJ5bTNOjE5vRTmqqhMi16rcvEQjyBEErZNDPpSgl2lz/BRwGiSv3QJNnv7p/gyLJkHrt4Dr1jHjIMSm5/v5k1rdFWzjVHFHH7+y2xmXGJSMDd59ayuWssQcfxUZON6gw9f3ytnlPr0jmmMoWiJBUXLMhmQ/toTNBZZNVQnaFHLv18isg2qeKicAGuPrwwqoz/L0QwGODFLb2xNuiYO8DvXtnFnWfP+u8n9kgksvxLPK2X+CGJ9Mlj053/HuAeiIrnvsRrfedRlWHkysPEnDwrHU8gRIZRQXma/iuf1+cPoZCIOLQ4ic1d9pi6OdeioiZDj1r1+UIUo0rGz5/bWxbe2GnnltOr4m6in4cRd4C3dw3yWdsI83NNHFmRjFwsIhRJnMsF8AZDNA5MkKaTUTrpcDXhn6I839xLeZqW3x5TSkW6DpNSzK37iMIgWgrd2j1G16gbpVjADSdXcsNbjQw7fRxSaOGHy/L4yTPbSDMoOaMunaPLk5mXY2R3/wTnP7iBW8+o5q8nVfDS1t6YmOqd+gE8/jBHlCUhntL0K03R8MNledz/Sce0oTmhcAR3IEjnqJst3eM8s7E7Zhd7TGUKx1elcu8nbVy5LJ/7zqtjW884NqePHLOKpqGJhDSv1c02zp6Tybu7h6jLNLC0wMyHU27IeUkqhMA/z6xBEAmjlIlJN6mo7x1jc9cYqXp5wnhbukGBe8r3fNuZNdz6bnPM+35Rvplbz6jmF89tRyYW8uq2+EWZJxCi3eaiwKrmyfVdvLd7KKbCl0uEZJmUPHzhHG56p5Ftk5a0W7qj6vl/nF6JRa3ggofi/QraR9wcr5DQbnNx1dNbefCCOlY323j0s06StXKWFVlweNUcWhwv6FyQa+Dvp1Swtm2UpyYT5S5bnEOWScW1L+2MkTrAJy02Tp6VxqMXzUEkEjI3N7HNlGVSMi/HRLZJSapOTt+kfbFAEE3Iu+b5Hfz1pEru+6Q9rk1w/oIsLGopvz+ujFS9nCyjErlEyMJ8C0+u64qRepJGRveoJ+7aCYQiPLmum6OmEbql6OQMTfjwh8I8vq4Lg1KKSAhVaRruOa+Whv4JRCIBBUka8pMSx/CmQ0W6np8dXshJNWnY3QGyTEry/4tHy0bdId7Ykeg9sLvfQV2mLhbG9J/Et60U/wrwhEAguJmoeK4AWH/gp/xvo8CqpcD69bopKWRiDi1K4vev7eLSxblEiCATi5iXY6TsIBcO+3qeAzyzoYdDiy3oFNM7MO3uG8PmDOAPhUnSyvjrmw1sntz57upz8GmrjfvPrUUgiM5Eb56yK841q1DLxLQOOdnYOU55apgMk5ojypJ5cUtvbOeys9fBJYskzMo0YHd5KbSqadxHq5CskzPaEC1pn/3ARv5wfCn/PLM6+t2IhZx419rJ843w+vZ+/n5KZczFC6KGMrMy9RxWnIQ3EOJ3r+zC7g5wSm0aIlH8REF5up4Mg4IlBRakYiFG1d6xpz2fK23S13xH73icB/xr2/tZXGBhwhNEKBSwvWecZI2MPIuKCODxhTitLoMkrYwxl5+Xt/bhD4XZ3jvOnR+2IhDArafXECZCIAwrSpLINKl4ZmMP7SMulpckcejkJEPPmJcbVzWRZVJyzRHF5FlUbOy0U5qi5YSaVK6eHLNamGfms9aRuECbT1psLCuy8OaVi3D5g6hl4rhRP4gaphRb1Vy+NI9rX9yJJxBCKxdz3XFllFiVrGkbi5H6HuzoHceklrOzb3xax7Q9v3koHKFt2MW9k3qIjhE3D37aiUktI1UvJ8+kRioV0dA/jj8YIRyJVkoAfMAt77Xw0IWzY9MWNRl6FuSb8fiD+IPhOEOUcDiCcMoWvMCq5ScrCmkccHDTqVXUD0ww7vZTlqrjszYbY54AWnl0h/3Gjn7G3QGOqUqhJEWD0xsiSRMdeXvss0629Yxz0aIcxFMuIZVMzIQ30ZVwxOXDrJEyP88UG/0TCuDSxblx8cMbO0eZlalHq5QzL1fOvGkWJ3vQ2D9O+4ibjhE3JpWUfIuamqzoQr0qY/+pZU0DDoadPrRyCRWTlapwOMK2bjueYJhkrSymH/kuQC4VkWlSMuKK9+Y3qaJTB98G/EeIXSAQnAjcBliA1wUCwdZIJLIyEonsEggEzwD1QBD4wYwi/puHViHFrJbylxMr6Jq01cw2K6n4AtWA6fprcolwv+5Pjf3j7OhzsLZ1lNXNw+QnqTm2KpU2mys23lTfP8HuQSdZJgXXHlXCK9v6WNc+SlmalsOKrTzwSRsnVKfxxLouzpqbiVQkYFaGnjvPnsUTn3USCEW4YmkeyVo53SNOMkxqzpyTyUdNwzGiyTIpEQsFOH1BBAK4/cwaHl/XxW9bo9a2x1alcPHCHO6bnIuPJmXJWJRvjqn3GwYm+OGyfK56emvMNUwqEnJMZep0glF0KhmbOrsRCeEfp1dx2/st7OgdZ062kSuW5iETCxEJhQne7wC7+8a5ekUBz2/upXfMQ122kUfXdiIUwHXHlbG2zUb3qIdkrZyrVhQw6vTHLHYjEbjvkzZ+f2wpz2/pxeEN8uMnt8R2f7v6HDh9IbzBUEyh3Tni5v+e387pszM4b0EmoVC0DfLPM6p5ZVs/RclqHt1HOAnRMJCLF+ficHv4wbJ8rn8z2us2qaRceWg+dneAN+sHWVpo4YmL59A77sWkkpJhkNEx4kOnSHS4O7I8hb+8vhuFVMSR5fF+ARaNLC5hSy2XcOacDEZdAT5oGOIHy/LIT1IzOO4jEg7TPeblhrcaabe5WFZk4ecri7hxVWNscbCpc5TlxVayzSq67W7+9WELarmYnywvpHXQgUwkZNgdIBAK0zw0QV2WiaLkKFnVZBpilar5+WYmXH7+uqqR5iEn159Yztv1wygkIublGrFN+Pn1Szu4+5w6fvPyrpgf/vw8ExXpem5c1cgNJ1fy/aV5vLt7kKZBJ6fPzoi14/bgtLoMMnVyfrQsn1Nr0/EHw+iUEv76ZkOcE93U1MJNnaMMOXzYnD4UUhH5FnVsGgPg45YR/jxlimR2tmGy+qVP+G324JMWG795aSftNhdmtZTfHFNKWaqWj5tt3LKqiQlfkNnZBn5xRPE3EtLSNOig1+5hzB2g0Ko+6I3KVCjEIn64LJ/vT8lIKLJqKLRqSJnGh+I/gf/IHPvXjf/VOfZvApFIZFoy+jx82DjEZY9siqllhQL41zm1rCybTnYBa1tt3Lu6HZVURKZJRduwkzUtNs5fkL1X4AU8fOHs2Dx8Q5+D7jE3Df0OXt8xwPHVqVjUMn7x/Ha+vyyfBbmmmArf5fPTMuRi1a5BXt7WR7JOzuVL8pibraFh0EvLsBOJSEC+Rc09H7fxxs4Bjq9KJUkri+309uCPx5dFx4tkYq5/czeXLcmjOiOat9035iHPoiJJI8EThE9bbIgEAubnmZiVoUajnP4P//3dA7y5c5AXtvTw+2PLyLao2dg+wu0ftJKsk3PbGdU8+Gln3HgjwJ9PLGfM7efvbzfxi5VF3DBpw3rhwmxe3dYXJ6ZTSUX835HF/GaKX3uOWcVvjirhokc28uPDCrj1vea488vEQu45t5aOEXdcDxtgVqYBrVzMh03D/O7YUl7a0ssVS3NZ127nwcn56j349dElaORiiqwaVDIhW7sd7OxzMDvbwM+e3RYTB+55vdmZWuoH3WzvGcfhDZBhVKKSiOI0CH84vizmPX/O3ExkEhEbO0YpS9WSYVTyj3eb8QXDVKXrOG9+Nn99swGLRsYvjyrm2Y3dvLq9n0gE/nJiOb97ZVecgG1ujhGFRMSHk7P5P1yWT1WGjg8ahnliffzC5Z5za9nSNcbDazsQCQRctCgHi0bK0qIk0g3xv3cwGJoU2UV4r2E49ntBNP2vKFlDtlGJOxDizR170wQh+j5bhpw8ub6bUDjCybPSEIsEZBqVmNUy7v64DX8wzAULs5mbbaBo0kgmFI4gEgrY0D7CD57YElP6m9VSfnFEMUVWNUKBgDWtIzy/aW+4jlUr4/Yza5idY2JLp53zHlifYE976xnVHF89vb65od/BpY9upHuK575EJOCuc2pjboN7cGhxEn88rpS0A0zbfBV02iZotbl5ZWsfbn+IlWVWVtUPcMniXGZnm77w+ezjE9QPe2kZcqGQiMgyKTGpJeQnfTNe9HvwbZtjn8F3BF+G1AHmZKi557xaPmwcwh8Mc2ixlfKU/f/RBkJhFheYeWp99IZblhotYTqnlBkX5psosu49R3GqloggjFgoIM+iptvu4W9vNSISChALBQxMyXsPhyO8vLUvZujRY/dwRfcmHrhgNjqFBKVERIQIQgH8cFkeJ1SnYVZL+f1re0No9mBt2wgtQ04Gxr3cdFoVapmYqgwDa1pGeH5zN1Zt1Br1pS29XHdsKafO3ivuDIUjbGgfYVPXGE5vkLpsA+XJSswaGS9t7SUUhjFPkHPuWxd7To/dw10ft3H+/Gx29Y3H1NdHlCUTDEVQSMRY1DK6p9jRqmTihBhPlz/E4D7jW0eUJeMP71187QuZWIjbHyTNoCDPrKJ1kmhkYiHHVKbwp9ej38+LW3o5rDiJHz6xlScvncvGjlF2TIrzlhVZkImFXPP8DpaXJHHNyiJkEhFbukYZc/vjvPR9wTDPb+5Fr5Twh9fq4zLXf3NMCQ9eUMuT63uYnW2gJkNHkkbG0ISPx9Z1YVBKqEjTsaLUyoQ3yM9WFmFUSokQ4epno60CAdFe6CtTFPj9494EVfq69lF+dGg+HzYNk6yVU5dtIBQO887uxEmRnX3jPPZZZ0yLcut7zVx/YgUtgxOkG5Ssbx9hddMw7SNu5mQb2d47RqpOEXND3IPtPeOcMiuNbLOaV7b2Up6m48y5mTy9oZsOmwtfMBy7fgGe3NDNtUeXcN6cNBqG3PzyyGIADEppjNQhKt4EmJ1j4t7zaiECgw4PUokYvTJ67b61o58Rpz8uMW/Q4ePFLX1UpmrwhcLTes4fqPTcP+6NI3WI9v+7prFZ/qhpGJvL/7UT+9CYiw67l1AYfv/KLjon38+q+kFuOLmCjxttX4rYDToNC3UaKtP0OP1BkjTy2Pf8bcAMsc/g3wKlUsnSIiVLD9JtTi0Tc9v7LbH+cjTYpJUbT6nimMoUKtN01GUbSJ6i+N/SOcrWnnE2dIySYVAiEIA7EOSq5YU8vaGbv51cEXts+4gnFjSyB4FQhNZhJw+u6YiN+mQaldx4ahWHlycz5PBSkhKdaZ+KshQdq5tsTPiC3PtxG385oZx22wQL84zMzzUy7PTj9AaZn2ske5/Eu/XtI3z/8c2x9DLBx9Fyf3myBqtWTo/dgzeYeLN8p36QK5bkcftZNbHUsa5RN6MuH/lJGvyhEAZlvKhRJhbGCbKEk9qEmgw9Dm+AlWXJ6BV7A0rc/hDJWnncgugHy/K5aVUjbTY3d59TiycQwub04/QFueuj1pga3qKW0T/uIRiO4AmE+NtJlfSOefAEQohFAhoHnFy1vACnL0j/uJfCJBVnzsnk7V2JRDnu8dMy7IojdYB/fdjKPefWcs9KBQxtgc5eVh2dy+2NGu7b4sLuDpA6OTHg9EVH60xKCafdu3eCdla2gY0d8Vnu4mnmj/VKCdUZOv56cgXZRhUGuYhxX5BskzLBBEkuESVY7r7XMMRVh+WztcvOT5/ZFssYeG17P2fPzUQlE08rlrRqFVz00IZYC+fV7X1ce1QJz2zsZnNXYgb969v7OazYwmWPborN9pvVUm4/axbzcqOE1TPiwuUPEY5E6Bxx82nrCMk6OfNzTVRnRMvfUrEwbmG4B9t6xnAHw6RoZSzON8cMbiB6feWY90/EWoU4zrZ4D4zqRPFtrlmF/CAcLT8P9X1j+AIRVFIhE74QT6zv4qWtfcjFQs6el0VDvyMW9fz0xm4WF3y+r8aBoFFI0EzTJvpPY4bYZ/CtQP+4N040BtEdgycQ4pbTqpCI4//oO21OHljTEddbLE/T8ofjyrlpVSMXLMwmXb9XpCcRCtAqJAk3U4lIGDe/2zXq5t36ASrTtCRp5awss7KufTQmnKpK16FXSmI3q8ZBJ/0TXrRyCaEI7Oh1sKnTjlom4pDCJBoGJkjXKdBrZPiDITZ3jcVIHaJ97rs/buOWUyv55ZHF/PDJLcimsQOuTNcTJkJJio6SFB3DEx4KrUq6Rnw0D0/w22PK6B/3kG2Kjii+uq2Py5bkxrUxLlqYQ65RyW+PLWHE6UcgEJCilSEWRkvlt73fzAULcvAEQoy7AyzIN1GSoiYcifD3txu59NFNqKQi7juvjiue2BzTPkhFQs6cm8klD2+kKl1HhkFBjkXDkDPqh7Crd5xcizoqitTIkImFFKfoSFaLUcskfNg4HPdZT6xJwznN7nDU5Y9+YVsfh7V3AKAHrik/ncVnX4M9KGd7zxgPr+3kZ4cXUpKqo3HQgVEpjbnmbe8Z4/TZGXEBIa1DzgTS+snyQmoytBjVe0vp27vtXLE0j+2P7e2tliRHA4mC+4j3skxKDCoJn7buDQ7ag+c29fDro0pYUmCOkQxAQZKa1c3DceeKRODjpmGOrkgmPM2YaZ5Fxbq20RipA9icfl7f0U91qoo17eP866NWKtO0ZBhV/P7VvRWoxzVd3Hn2LGZnG7GoZZSmaHlrZ7xRzYoSK3qlDINKzlXLC9CrpLy/e5Bci4qrlhcyL2//u93aLCP/d1Qxv3lpZ2wBeP6CLHJMyrjPLhML+fnKIoq+YKRql81Jz7gHqUiEQSFifcc4N73TyC9WFuEPhukZ8/D8pJGSyx/ino/b+NnhRaxusRGJREc0v4hu6LuEGWKfwbcCGrk4YV5cJIy6au1L6gDddk+C5efOXgcysZDbz5pFilaKetIfunvERTAS4U/Hl/HDJ7fGdldpegWWaTKmd/Q6YiK/+Xkmbjmtio4RFxKRkEGHl2tf2mtackihhcfWdvKjQwvY1jce14d+cUsfd5xVQ9e4B71GhhCmJSyHJ4DDG0QihIcvnEMwFOLceVk8+llUmW1USfnpigJUU2aKbRN+2m0uuu0e2mwudvSMcUJ1Gn84rowBh5eeMQ9mlZRrjihCLBRSYFVjVEmx6hVkSxMVyDKpiIo0LQ5vkAy9kgKrCpFIRNvQBFlGBbedWcOYO0CSVk6STsI959Yy5g4w4vKjlolpG5rghOpULlyYw/ZeBx83j5BjViIVCvAEwtw8RYn90xUFZJvkJOlUpBl8/OaYEp5c300kAufOz8SqkWFQShELBXEkt6I0mXy5HdbdFffeJTufRmA8gatWRXvJd50zi/DkhVRk1fLjwwr46bPbiESi8+GpOgUFSepY2XlLt51fHlHM6XMyGHL4yDQpydTL40gdoDLDwIjDxQMX1NEy5EImEZJrUkVtdKdY7ppUUpaXJJFmUBGOxFv5QrQdMzDhozJDT7JOzjv1g+Ra1PzyqGKeWp8oPAxH4Ny5mbTY3DyzsZv+yZE5nULCybPSuGcfDQhEXSnbR/1c8dhm/KEw1xxRzA+fiPdIGJ7w0TQwwexsIxUZenyhMAPjmTy9sZtwJMIRZckcUmiJteNqs41kmhRcuigHlUxEXtLnK9kX5hh46MI5dNvdmNUy0vVyytL0/HxlEafVZTDhDZBtVlGVcnCis3A4TEO/g/YRNz2TkbA5RiXbex3c90n7ZBa9AJVMnLBIAegcdZGkkTHo8HHuvOhI4X8jZoh9Bt8KZOgVXLAgO050ddniXD5rs5GmlyfkGkciiVnsAOFIhIc+bcfhDXLKrHRS9XJu/6CVDxqHyDAouem0KlqHncjEQmZlGnD5Avz+uDJW7RqI+akfUmjB5Q2we9DJho4R3t89zKJ8E4sLzDQNTsRK3HVZBo4oT+bpDV0EIxGem2JlC9H57O294yybzJQWi0XUZuoTFjCn1mWwscvOn19v4MKF2Xj9IdpsLn66ohCLWkqBNWrnOm4IIJGAzRHgx09vjd3gS1I0LC6w8Jc3G3jy0rn8+Y2GhPn1u86ZhVIipHlwAoc3iEUd34fNMmnIMiXeqJuHXNz6XiuHlURbKg992kGOWcVFC7P51Ys7Yn38giQ1N5xcyS3vNMUEZwIB/POMat7ex670jg9aWVaURP/EGJc+vAlvIMTSoiQEAtjYPsr8HGPUFe/MGm5+p4muUTdHlSdzzvwstI4NEE4sYedqI1y2JJdjK5Jx+UP0jnkJhu3oFCJmZ+q599w6dvc7sGhkOH1RbcPRlSlEIjDmCfDu7iH+dlI5ksnxUINTAABu+0lEQVRkxKaBcV7b1kfLsBOrRk6OWUmuWUWSTkWKN0QgFMHu9iMSCsgyyLn7nFpah10IBVBo1VCXbSQSiVCWouWGk6MxqJsmxzOPrUrlw8Yh+sY83HdeHRfMz0arEJNuVDHq9PP85t59ro90jBoFczQKbj+rhpYhJ+FIhDyLmq1doywttCRUPVaUWNncZY+zep3Oujcw5f/XZRvJNss5uTaVSERAukFKsi7+786iUWDRHNx8O0B2kpbsabpxFen6A6rp94c+u4fXdgxw54etsWPHVqZw8aIcTqhJZdWuQWxOHzq5hByzKsFgK8uoZFaGgaOrUihPUZNt+WbFbt8UZoj9vwBNAw68gTBWjeRrCX/5TyAnScPifDMVaTrsbj9mlYwt3Xbu/6Sbw0qS43K9IWqKckihJZYoBtHypy8Yigmj9sw273HE6hp1c+WTW3j04jnMzzPzcdMw963uoM3m4rCSJE6bncHaFhs1mXr+/FbjZBysnoX5Zm5+t4ntveP8+qhiFuSZ8PjDKKRCBsa9ZJlUBILReeN94Q+GeadhkPYRNwVWFblmBbedUcN9q9sY9wY5pTadXLOKG1c1olNIkIiEPLihA4gKuCCqwn9jxwDeYJiLFmUz7g7ESB2izmRLCiyoZWL8wXACqUPUHcvlC9Hn8DI22fII9tgpm5J5b5vwEAhGsGjlsb5zIBSmMkPHvavbECDgpFlplKZoeHZTT5w4r3nIyYbOUTZNCaXZE8iyL3zBMA5vkEGHlxGXn8UFZvKTogSysXMUuzvAA590cNrsDH5/XClSsYhIOIxCIgJFNliKYXivNSwqM8kpGZyYmsKbOwe566M2/KEwhVY1v1hZzCvb+ji5No3LFmfTPuJhwhvkmY3d7O6PztobVVLuOKuGIWeADpsdlz+E3e1nY4ed5zb3EInAYSVJXLIoB5vLx72r23lxS3Q6QSwUcNuZNSwpsjA/b2+/tmlgnPcabNzxQQu+YIhTZqVz5pxM7J4AKVoZFWk6SlO1VKVraRh0sr03GpSUn6TmnnNreXxdF4FgmJNr0/EHQ2zoGGF2tomdvQ5ufbcJjUJE50j0GrjrnFlctDCbx9d1EYnAGXMymJVliPMSeH/3AGfOyYzzs5eJhbHvfQ96R31s7XbwytZekrVyzvoCqYwHC4cn2jZo7Hcy4QuSn6Qm0/T5962uEScDDh/3TPkMAK9u7+foyhTCkQjtNlfUXbBthOUlVjZ02GNVsjyLinm5Jo6rTCHDpPrSwuDvAmaI/TuMvjEnm7sc/OPdZgbHvRxdmcKptenU/ofjEr8sJnxBfjolTxqis7IaeWIpPsei5seH5VOZrmN1s42qDB2HFVu59JG9YzTVGfq4HjNEE7pah5wIBQK+//jm2B/9I2s7GXR4uXpFAZc+ujnWd++xe2gYmODEmjSe29TDiTVpXD4lh/2QQjOn1KYDEc6emxk3Siaa7Ov/dXJm+6crCjhnTjoFSSquO64MbzDMsMPLvavbaB12sSjfzIZ9Et8gujCZk2tkS+cYv3phJ9efVIFWHm/y0jXqJteiwqSWUpKiiZEWRMmnJFnDA592xKxcxUIBN51WhUIqRi6G+kE3q5uGkYqELMgzYdFGHc0MKgln1mVQmxnNu1/dZKMkWctTG3oS3mfTgBOzRhYnlvIHIwkCqqJkNSlaGWNuP+fNz6Jr1B0bszu0OAkE8G7DMO82DMdVN+47r47S0iI45hb49DboWA2pNYwd9nc6QlY8gSAPrumI7VKbBp089GkHh5cmcfmjm3nggjpmZRp4cE07fzupgm67F48/iF4phUgEm9PLLe82xxLzipM1/HBZPre938J7u4c4f14WrcPuGKnvuZ5+/2o9D5nqMKgkOLxBFFIRDQNO/vbW3sXHkxu6sWhkXL44C6VCHju+o2eM295vifX8JSIBt5xezfJiCy3DLn714g68gTDlqVr+dnIlhVY1vmCY0ZG9i7fGgQkuX5LLURXJgIAMgwyrTkU4EiHDqKB71MO/PmrnkYvmoFNIeGVbH6k6OectyKYyde+ONRKJ8EHTMP+YzJvfxjgfNg3zwAV1LMz/6mkuO3vG2Nozzstbe7Fq5Zxam4FSKuC0uz/j5tOrWJB3YCGbNxDG7Q8l6Bkg2uLSK6Q4fUE6RpzkmJR4AiF+f1wZ454AeqWEPIuKEqsG6UHY5H7X8d//Cf+L0Tzo5sdPbY3tTJ/aEJ1vTdHJSDV893buuWYlp9Smx0raFrWMq5YX7teValaWkVlZRi5amIUvEObeTzriVOAObzDByQ1AI5fQZnMl9LtX1Q9y/vzshDCM5iEnR1ZE5++bpzi/QdR7+9TaDBQSEcXJGq4/sYLnNvdgUEqYn2eKay3c/VEbC/PN1E5GhHbYnAyMe2IOeplGBZEICRGmhVYNa1tt6JQSfnNMCe83DHL9SeX89Jntsc+7KN+M3eXnmQ0d/O7YUv7yegPbe8dJ1sr55VHF9I574/z1g+EIf3ljN/eeW0fzkJcrHt9EOBIl/DSjgmte2MHQhA+RUMC587LY3e9AKBBwWl06EQGsLLNS3x/vNT8318ir2+Pn7BsGHNx2Vg1/f7uR+n4H83KM/Hh5IZFIhPwkNfX9jlgZuciqoSZTT9OAk1tOr8LpDfKn13fjC4YRCkApm1zgZS0ASymjExM0uxTc+GoTGzpbSdbK+dFhBTyytiMmWFvXPsIZczJiEa3z88ycMy+bxgEHd33UEhvJk4gE3HJadZwSv2FggtosAyk6ORJRVGW9r0shwIDDi9MfpH5ggv5xL2a1FNM0tstv7BzgmIoUChVydveP0zXqwR8Mxwn5AqEIf32zgeuOLeXXL+8Vuu3sc9A16ubIihT+dU4tL2zuoW9yMT87y0CSTkGSLr5EXptl5KZTq9jeM87whA+nL8iptSkcU5mMVCQkWR/f167vG+fRKfnrEK2uNAxMfGVid3k8fNJi469v7Z3bf3f3IPefX8eAw8t1r+zi6cvmYziAXbVFKyESiZBrVsVVggxKCVlGJTKxkBtPrcLtC1KZrou1GUwqHbkHoQf4b8IMsX9H4fYHaR12JVhpvrKtj7PnZX4nib0i3cD3log5uiKZCW+QTKMyzvlqfzCook5ys7MMPLq2M7Zje3VbH79YWcT/vbDXs35BrokcszIuiWsPFBJRnB3oVIgEAo6pTOHTyQjXkhQNFrWMrd1jUcGZUYVaLkGvkDArW0/vqIeLH9kY1yv1BEJx89LZZjVOX5DvL8tjddMwQkGUVM1qaazMnWFQIBQS689uaB/lN8eU8vzmXo6rSuWFLb2cWJOGXCLixkmB2hFlafz9lEpG3X6UEhGBSIjdfYmfd9Dhw+kP8ti6zphq+fAyK89s6ImZmITCER76tIMbT63kzZ0D/OSZbQgnE8KOrUrhte39iIUCTqlNp2/Mw42nVHL9mw30jXtZlG/ie4tzcfsCsRlrvVLCh7sHeW5LHw9eMDu2qEnRyTmqIpmbVu0V2Z08K43fHVvKr17cydlzM8m3TNnpjkbY0hXi2U0N7OiNkvGAw8sNbzXwo8MKYrapxcnamPWndHLaIBAI0jTojJE6RAn1jg9aWF6axBs79moC6vsc5FpUnFKbzgeNg2SZVAkaidnZRlptLq6Zko2wstTKzw8v4u+r9hJZllGJVCxkY8co17+5m02dY/z2mNKE36XH7kE2jWB0z7W5pNDCkkILHn80ivZAmJNjYk7Owc1pm9VSTq9L5/417fiCez+gWPjVU9o67X4e3mfR4A2Eqe+f4LdHF/GH1xuxOX0HJHaDUsGQ3cdfT6rgn++3sL59NOZ3kaGTYTWoqPwvDZ75opgh9u8oQqEI6mkSoywaGbJvUS7wF0WBVTNtHK3H6yMYAc1+fOYzTGrsLj+3nF7Fu7sHcflCHFWRQmmKmgcuqKNzxI1eISHXvOePX0Bpiob6KSXr7y3JRS0TcmhxUixDHKLinDSDnEOKLPzjnSb+eUY17zcM0W5z8ePlhWSblHSOuqlM11MwObLjcAdQSkRx43VHlCeTpInOvDo9fiKEKU/Tk2dUsLTQwtn3rUMkFHDBgmxkYhFJWhltw07u+GCvUMjlDxEIh3m/YZhHLprN0iILbcMufvH89thjxrwBFhTs3WHV942TaVQkEFJlmg6NTIxzSkk/16KOI7Y9sLsCvDeZXx+OwKYuOydWpXF8dRqSSZ/6m95p4uKFWdx3fh1ufwipUMBHrcNk6lVo5dG2xDG3rYmds3vMTWWajrWtIxxXlZrQO31+cy9LCizcfmYNuWYlSdpoP9jlDbB7YIIhpy9G6nsQDEcITi7stHIxPzo0n58/t51sk5I8i4oPGwZJ0SkY98RXcSDaztjjVBj7jjJ0jEz40Csl6JVSXt7ax9UrirjvkzbG3AEq0rT835FFcYZCAG/XD3JkRUrs3yqpiLPnZpJpUvLytj42dY4B0b/XfTE3x4BvHy+DBXkmkiYV3Fu77PSOeTCopOSZFVh18Yv49uEJ2mxuOkfcGFQSck0qqg6wQG4fdNAw7OKZDd1EgBtOqeLDhiFe3NqHQSmhOPmr73aFAsG0Bi4igYAhh490gyLBh2E6FKXpGRpzc/1JZYy5g2jkYrL3EdbOYIbYv7PQKCQUWFVxYzsCQTQHuiT12xEd+HWgbdhB67CbZzf24PQFOX12BuVWNXkpiZ+xMtOIUuYgw6BAJhFhVokxaZQUJk/z2Aw9fzi+nPo+Bz12NxXpegqSVGQZVZw/P4s52Qa6Rz2Up+uYnannL2/u5qOWHTxxyTwueWhjrGe8rWecixflsLlzlMsPyWflZKLWrEwDd51Tyz2r22gbdnF4mZVjK1IYcQVZtauVbrubslQdeWYVJckq/MEwgVCEQCjCXR+1saTAzGmzM3hmQ09CVcbhDpCkkeEJhNnaPUaOWcUvjyxmzBNAJRVRYImWWHtGJ+ge8xEORcgyKrj+xAqufzOqmC9J0fCro0voHHJx4qy0WPm/Z9TN0kIL69pH40xXJKK9N+UFeSbyLSpWt9p4cUs0we6CBdn8aFk+c3ONPLUhmiy2uWscXyBCl93NiNNHaYqWk2pSeGFLVNz4f8/t4JbTq3mvYQiJWDitYcuYJ8CZczKQTtnBDox72dw5hlIqwqCUxPkCQNSa9ZbTqkjTK6Lxu4flk2VUcsnDG7G7A5Slarl6RWHCax1VmYJ/CqHOyTZwel06oTAEQxEW5pl4an03D33azkk1aajlYhbmmXF6g3gCicLJSCTC/efXEgF0CinpegneQCjOaOblrb388fgyblzVxLgnQHW6jqsPL0IsEPDbY0rY2GmnIk1PVbqOJLWY93YP8tNntjHuCSASCrjqsAIOL02iYdBJKByhMl3DJ812rnt1r9ZjWZGFnywv2O9utnHYxRVTdCMfNg5z25k1pBsUzM83Mzf3izuz7YtUnYRLFudw3St72wtauZiSFA03Ty6WzdMscqZD0mQLIeO7KSX6RjDjFf8dht3lp93mpHnQicMbJMeiIt+kIPsg/Iq/rAf8N4lgKMx7u4f4/hOb48jtltOqOHFW+lc697q2EX745BYmvAEsahk9Yx7+cfpe3+vtPXY+aBji8XXdsbL0tUcUIJVKEzzTZWIhP1yWzwNr2nnwgtmx9kEkEqF92MmEL4RWLmTcE+LyxzbHObtdfXghc7KNqGRC/vRaA5+1j3LxohyaBydoGnRyYk0a//po74493aDg6IoUkrVybnmviTS9gqWFSdyzuo1QOIJcIuRvJ1eSbVLx1PountnUQzgS4cjyZM6Zm4k/FCE06Q63tsXGhQuzeGX7AGa1jK4RN0laGe02F0alFG8wzANr2jl3XhZWjTxWVr7miCIcnmDc+wK48+wa2m0utnSOkZekjlNgn1CdxpwcA1lGFWtabeRaVPTaPeSYVWSbVUx4A/zmpV1xvVOZWMi/zp6FQiqKU5zv7LGzoXOM299v4aJFOXFhLStLrdRlG1mQtzeJ8L36AS5+ZFPcez2pJpW5uSb+/nYjoy4/K8uSuWRRDkalmC67l2A4glUr44XNvTy+rguxUMD3DsmlKl3Pjt5xfMEws7IM1GaoGZoIceVTW+KqP/kWFdceXcq9q9sYcfo5qiKZQwrNVGcaueP9lrgSfUGSmt8eU4JYJMSsllJg1bKhfYSfP7cdqVhIr92DOxDitR8u4nuPbUowvHnwgjoueWQToXCEB86v48qntiboR247s4Zjq1Jj/w6FI4xOeBGJhdz+fjMPrIkvky8vSeLvJ1Vg0Mj5urC7b4zdA07eqR8kWSfnsOIkktUSHP4Is7JmSuhfBjNe8f+FMKikGFRGCqwaJEIh8s/pt0HUPat12MXmbju1mUYKk1SUfkvdl3rsbla3DCfsWB/6tIPF+SbM2oOfp90Xu/ocMWvQ7skb5R0ftFCWoiXfqkEiErK6eSRG6gCHl6fwzu7hhHNJRUJUMjH2yTG06snjHzcN86fXd9M85KTQqubSxblxpA7w+GddFFo1SERSrlpRyPu7hwiGw3zcbKMqXUeKTs5tZ9awqXOUFJ2C4hQN/kCIa1/ahcMT5JJFKdzyblOM2LyBMLesauCSJfk8OcVC940dA+RZ1LGs+T04qjKFwiQ1WrmEDpuLv7yxV8ldlaHjyUvmIpcIcfnDZBgUdNs9JKllCWE0QKykrldI+e0+i5+XtvYyP9eIViHCGwjxs2f3tg4OLU6i0KrizyeW84fX6tndP0GKTs4vjijiifVdfNJi48ELZsfIPcesYWjCR4ZRwQube7l6RRHBcJhMg5K36wf48xu7ObU2nWuPVqBXymK/L0SrWlq5hJe29nHBghweumA2/lAYi0rCjr4Jbn6nk3PmZVGcouGd+qGYN7sPuPmdZm48tYrSZA06hZQd/eM09k9Qla7jD8eXc/v7LXzSYqMkRcPPVxZx8cMbY5qKxsEJAuEIKVo583KNLC4wx8YwDUoJcqmYmgx9bMywvn8iYQbb7vInkDpA35iXJI2M/nEvgkk73T1YUmCmJtOATCyka8RJ5mTLqt3m5K1dA3zYOExFmo5frCziH+82x/QpEpEQkfjrXfiXpOopTNZxXGUyYQRxVZgZfL2YIfb/AmjkB+dV/FnrCM9s7Kbb7mZ2tpEPGofoHVOTa5Ijl399K/OvC/5QGOE0VQWJSBi9Q38FuKZxgBv3BGI3tpIUHVctL+Ca53fQO+ZBKIgSdZZRiVUri7PwvGRJLuvaR1BKRZgm+6Bbukb56TPbYsKtpsFo8tt070MshBKrmk3d48zO1nPbB6386NB8mgad/PH1etL0Cn64LJ/KVC3ZSWru+qgttuDwBcMJRj1nzMnkkylWpXuwutnG8pKkOGL3+EP88Mmt3HZmdYK4aVv3OB02F/lWDbe81cDtZ9bQMeom06DAqpXHjdQBJGnlhCMRLBrptPnoUrGQQCiS8DrvNwxxWt0sOkdc3HxKFTa3H7lYxIDDQ4fNjTcQZlOnnSSNDAERMk1qci1qfnZ4ERPeIC5/kN39E/zyxR2xKYHXtvdz1twMajJlmCbdBY+qSKYkRcuQw0eKTg5EKE83EAyFeXf3II39Di5alMvbuwZoGnTGeSTswXu7B/nZigKOu+NTzpmXhUIqYn3HKHNzTPz1xDJG3UE0CjGvbx9ICJZ5dmM3R5RZqc028rtjSui2ewlHIqTq5bQNu1jfMUpBkgqLRjHt9amRi0k3KBLIPVknj01+tA5NUJOpZ0vXGBcuzKZ1yBkbJTyqPJlLFudiUku4aVVTzJCpadBJqi46s/7Qpx0IBXBCTRra/ehZvgpEQgEIZ2jn342Zb/h/BBs6Rrn88U0xf+8NHXbOmZvJm9sHWJxvpjLj20Xs454AZoWY2dlGnt7QHTfGdsGCbHQHENrU943TPepmzBMgw6DEpBJTlKKPe0xZmg6hAKbyz+l1GZRO0SfMyjTw2MVz6LW7EYmE5JoUDE74+cXKInb2ORgY9zInx4hUJEAqEnLHWTVUTibY9dg9MVLfA5FQmBDMcuKsNEwqKQq5lEUFFkYcbo6rTOGz9lHenRSrdYy4ueaFHdx3Xi0CIZSmaGPvXSoWIhIK4oh03BWkNFXLW/s4vhUna+LEZsXJmkmCi4rqpp7DpJLwpxMr+Kx1hHd2D3Hq3EzEIgF5FhWtQ04uWpjD2taR2GexqGVkGZXU9zmYk20k06iga0qyl0EZ7S93jrinJf3d/RP868NW7jp7Fus6RnlyQxdCgYBLF+cSDodRy8Sccc86fKEQFyzI4dAiM4sKLARCYV7a0puQlJaskyMURHe/eWYlVxySS/+4L051v63Hyk+XF5BhVvLOrgGOqUrl8kkf+PwkNSXJmphqfw+yTEraR928cMV8Xt/RH5v51iraue/cOuZM9qNlkkQBq0oqJhyO0DLoIN+qJd+q5f2GQc6+bz2jLj9ioYCfLC+YFH1qE37X3f0OfndsKT97djvjngBioYAfHZqPTCSI/Q5/ebOBJy+bx6NrOxEKBHFe9G/sHKA6U09FmjZG6nvQN+4l16LixJo0jq5Iodj63ZuqmcFezBD7/whahpwxUt+DZzf1cNHCbEKJup//GMLhCGvbRljTYqNr1M2li7O5+bQqPm6y4fYHOboyhfJUdXTXPg12945x/5qOWPiDRCTgH2fUIJeI42xpS61K7jhrFnd/1IrN5eeU2nSWFu5Vkn/cPMwrW3uxTfhZVmxhVoYeq16FVa/CpIraVTYOTPDq9j4+bY2aynSNusk8rZI8uRy9QpqwcHjssw7uPreW+1e30zvm4diqFBbmR/uue2DSRkf8/vLmFGc1oqTbNepGJRWTaZRz+1k13P1RG5+12vjNMSX89c0GvIEweqWE+fkm5BJRXMxqslbO8dWpPPZZJ+kGBXVZBs6YnYHd5eO02jT0CglLi/Zak/7+uHL+7/kdMRe79xqG+MXKImxOLw+s6eTw0iTuPqeWzlE3AkFU3ZxhVLAwz4RJI+dvJ1dx63tNrGsfpSJVy9nzsvjja7tZUWqlJFnD7imuaCaVFIVExPUnl9Mx6o7rzf/97UZuOLmSa1/aEdsB//O9ZhQSIXKJkOIUPdkmJcVWDQ2TM+ZCAVx+SC5SEXzcNMS4J8jcXBMXPrQh7jt9e9cgp9amk21WclxVGh+32GIE2TLk5NTadD5qHo55wCdpZCzKN3P7By302D0cX5XGU5fO5fnN3Ty7qY+PG/qYLdyNwN7JwuT5CR4KPzo0n84RNya1jHxrdAF63Sv1sccEwxH+vqqJ0lQtdZk67jirhn992MqIy89JNWkUpWiRiwXcf34dfWMejCopyRoZ93/agUgoIByJsKLUilgg4HfHlnD5Y1sS/j7WtY0yL9eYcG1CdNztltOrE54zg+8eZoj9fwTTFa5FQgG5FjWZxq+35DY05mJgwo9EJMSqkWL8At7Sm7vs/OrFHTGTmNe29/PnE8u48tA8ZBIRQqEQ435mXfvtTpqGXTFSh+h88p9fq+euc2rjHptsUHOkIbor8wXDFKXsFRyubbVx+aObYvnaHzYN8/OVRWSb1WgUEtKMajZ19fLLF3fGnXNbzzjddg8SkZBUvYwfLsvnn1Oc706oSePZjd1csTSXbJMKi1qGZJqoSplYgFkti+vvQzRn26CWUJCkpTBZR2GSmmAY0nUSSlO0jDj9JGtlZBtktI54uf6kCjpG3QRDYSwaGVqZmCsPzcfpD2FQiBEJoNfhx6iW8cKWPk6tzWBZkYXHPuti1O1PsKa975N2rj0qOo++qn6IxkEnx1amMj/PSIpWRu4U0eb8PBMCCvi4Obog6x51c978LD5oGOLnRxTz+LpONnSMUpWuZ0WJFW8wxNMbeqbNhH+7foCiZA07p8ydv71rkNosA3aXB6NSyrXHlNAx4sbpDZBhVJJtVNBqc/PQmg42dtq58rD8abMFPIEwMomEHIuSD5riV7i3vd/C1SsKUcpEBEIRsk1KvvfYJlyTGeR3fNiC3e3jxJp0Pmsd4WzddgSPXAnhIIVSFU+e9CrvDWkZnvCTaVLy+LpOknUKFuWbSBqUMe4J0DWaGJXaa/ewrNjKEeUplKVo8ATCFE5JPusZcZFp2GtI89PlBRxfnUo4AllGOWmG6AK2OkMXZ/ELUJ6mI0kt5ZTadJ7ZuNc9sCpdR6o+8e+0y+bCpJHg8/gx6g9urCwQCBCKCJD/Dzi8fVsx883/jyA/SY1FI4vLkr5oYQ6lKRpMmoNLVjoYbO4c5bF1Xby+vZ9knZyfHV5EWXKAXOvBhS2021wJzm9/eHU3xZdqY45t+0OX3UvLkDPheN+4N2EueA+yLXtvVk5fkJbBqHvYNUcUkWVS0TXs5Lev7eapDV0syjPF5oGl01QMiqxqXL4QP3hiK25/MJrQdtFsmodcGFUSNnXaaRlyopWLaRpy8uauARQSEUVWDbXZRvrsLnb0TdA6OMGvjirmJ89si5FRTYaeNa0j3P9JO9ceXcKcHBP5U77TOTl7b8qftti48KENHFeVwpHlKUjEQgbHPRRY1HGfd337CJc/uilmTfvS1l5uOLmSxy+q4836xP5yeJ9Jis4RN7d/0MKcnDlEiGoQ3L4gaQYF5Wk6lFIxTl8ATyDM4+uiqWUnz0pHIxNxel06583LwusPsaV7jLd2DSASCihPSxxNzDQq2d0X73Jn1cpw+0KMukLkWTUk62QUWJT0O/z02N0MOHz4AqGYPWyP3UOhVU3TFOfAoyuSsWikfNIyjEklYWVZMrrJSkvfuJenN3SjVUq4/o3d2Jx+fn9cWYzU9+ClrX0UJGm4/YRsUl44D8KTvXG/i6LnlpN87rsc8+z4FAHfGOFIBLNahssf5JdHFjPhCyIVCfmwcYjNXWOkTCHYDFM8me7oGaNjJJo9n2lUkqSWIBIKyTQoEkypVpYl837DcCxyuCRZw+ICM8l6FWfNyaQqXc+mTjuFVjWzsgxUTxmH8wfDNPSP0zDgZH3HKLlmFbOzDRQla9Aq9t8GW9Ni4/XtffTYPawotVKZrqcqQ7/fx/eMuugZiwpKM/Ry0owzLYCvAzPE/j+CIos6ZqzSNepmRamV6jQd+V8wA/lAaB9ysKbFxoeNw/iCYTpH3Pz4qS08eMHsgyb28DTbqmA4Mu1uayo8/gDd+3HsmpWpx6D6fIFhy+AEf3mjgfUd0dK6QAA3n1rFknwTbSPuOIONDJOSxfkmVrfs7VVesjiXHzyxt/x53av1/P64UsrStHzWOoJZLeOwEgtddi8/fGJzrBSaZ1Zx8+lV2Bw+Ln9sE3ecWcPGTjs/O7wIbyCEWCTEqpHx4JoOGgcnuPHtRv52cjktQ26kYiGftY3g8AZZWmShNkNP54gLXzDMs5t6eXbT3urFU5fNiyP2+r6JOL95gNs/aKEqo5ZCqzrB4/3CBdn0jLqYnW1gY6edSATm5RrRyMTc/XE7z26KBqYUWtX84fhyZmcb2dozxm+n+Oc/taGbJI2Me1e3I5MI+fMJ5awss/LEhi4cniCn1WXw/u6h2OvqlRJWlFrj7HCVUhGLC8xIxQIUkuhvsrN/gu4RN795eVds/v7oihRWliXz9q4BXt7ax09XFNLQ72Bjh52fH1HEq9v6OPf+9RRaNfxkeSF/er0+pkQvS9Xy4AWzyTAo+NMJ5fzm5V3Ip+mb6xQShp0+jBli8O/j7hcJExjvo9se/7y3dg5QkqxFKhby97cbY97n58zL4oTqNHJMCuxOL9t6HXSOuLFopMzKNDDq9HPXR228vqOf+blGvndIHvev6cLhCXBcdSreQCiuajInx8RtZ9bQbnMiEAjIMasom9SQVGcaqM40cHpdGkJhouPimNPD6zsHuPujvW2RPIuKW06rpjJjemJf3z7CFY/tXSh+3GzjJ8sLyDBKMaoSNw9bJjcBL26JXqMn1qRxztxMaj5nAT+Dz8cMsf+PQKOSMj/PTF2mDoFAgFj89f70u3rs9E/4sLsCXLwomxyziiuf2kowFKHN5uKQooM7T75FjV4pidMDnFSTRor2wO2CUBiUEjFv7+rgpysKuW91Gw5vkOJkDdccUUz+58z2u3wB2myuGKlDVFD2t7cauee8Wta3j8YJ68pSdfx4eSGHlkSV45XpepqHEn3En1zfzc9XFnLLpMjqoQtm85c3d8f1N1ttLta1jZJqUHDu3EwkImFszGoPxEIBVyzNo3FwgvUddmyuAC3DTv75XkuMyJ5Y38U/z6hBOY0joUYmjqajTWLMNX0VIxiKBm3MStdw5zmzeGVbHz2jHo6uTCHLpKBp0MWli3M5Z26Q9xuGOH1OJo2DE3Fl3aZBJ4+u7STTIE+IbIWoa11JSlSYdu1LO3n0otmcMTuTez5u4/b3W7h4cQ6RCFi1cmRiITt7x7nltCpc/hAtwxMkqeXkmKM7u1SDih29Y7yypY/P9jHVeX1HP1cfXsjbuwYIhSP8/e1Gfn1UCT9cls9Pntkamzvf1efgJ09v5dz5WbE40F19DtptLpYVJ5Fv1WBQRvvl+6rSz5qbiUQoIFXqBZUZXFOmEcQyAqpUIP47MKllpOjl/On13XGBJo991snjl8zBoBLTbvNgd0VbK1qFhN+8tJPz5mfx+o6ouc/lh+Rx6SObYlMc7+we5JbTqsg2qxFOsYAtT9NNWwWJvcX93Ae67D4e2ucabB120TrspHKaHbgvGKJp0k9jKh5e28khRZZpiX1Dpz2ubfb85l6KkjUzxP41YIbY/8cgkRzcaNwXQcuggy09Dj5sHCLHrCYUjnDTqiZuPKWSq57ehmYaotkfarON/OvsWTyzsZvGASdHlCezpMCM+XOMMsKRCCa1hBOq03hifRenzc5AKxdTm2WgLPngevwT3sQRI6cvqj5emGdM2NXUZRupSFHhDkTQq2QxhfRUaOVigqEIK8uSKbCq0SrEcaNye2B3B7jh7UZuO7Mmbpe8B1MJIFUnRyoS0jfmjSOySAQeX9fJhQuzEyJtrz68kPIpSV49di+lqdoElf7pszOQCAXIZDIWF1iozdAxNOHjqqe3s7VnDIgKEm89o5qz52ayrWecUVdiTOz6jlEGHX5yzSrWtMQrsDONyphIb8wdoGfMyzGTITsvbu7lnfpBTqxJY3OXHalIyNMbo+FGpala/nBcKUKBAKFAQJ45ShZtwy4Maimtw3vL7EaVlNosA9Ypbmazsw3kWJR02z1xZjIQTRbc1/K0ZXKhtq7Nxg+e2MKYO8AfTyjH5YtqBlJ0ciLA0kILIqsajr0VXvsJOIdArocjbyCozaImwxsX7HPhgmy0cjFnzM7gw4YhDilKQiIW0jUSdejb1Qc/fmprbKrimMoULl6cE7tuDitJ4rO20bisdYD717RTk6GPq8p8WYQikbis9j3Y9zVjx/fT6opEItPqe0LhCB81JrZ7Pmoc5qIFWV/7xuN/DTPf3gy+Enb1jvPsph4e+rRj8sgQaTo5R1amEAxHqEjTUmD9Yjea+Xlmck1KnP4QyRoxKsXnE7NWISVJI6Y8TcvPVxbh8odI18vJ1MtRKz9fQ6CSScgxqWJqYYEALl2ci1Iq4sFPO6jJ1OMPRajax5ZTJpMhm+SOuTnGuDhVoQAuXpSDWi6hd8zN27sG2NEzxsmz0uJ25AJBdEY5GI7w9q4BLliQnVC1yE9S0zfmQSwU8MujSrj13eZpFztuf4jtPeMcUmjhhJpU7K4AWSYlBWYVokldQEP/ONt7HTyxrpP/O7KYjR12Bh1elhRaqErXIZ5SOVbKpXy0pS9G6hAVJN7zURv/d2QxI86oMGxfVKXr2Ng5yrxcE2/vGowJAa1aGfNzTTy5Pmqeo5KKMKukVGYYqEjXc/KsqPf8H1/fTW2WkRunOLTV9zm4d3U7vzu6hNTJXmwoHEEmFrGjZ5y5OUbWtY9y+uwMtHIJn7QM81FT1FPf5QvSbnPhCYRpHJhIWNAAMXOYPZg1qafY3uOIhfL88oUdpOrkXLk8n9pMI7kW9d4FQfExoEkB5yAozZA+mwyBgN8eI6Rz1B2tIFnVjHuDPP5ZF3qlhFNnZ3LzqkZc/hClKVouXJjF9W80xI1Kvra9n6VFFmRiEWKhAK1MPG3LKhKJLnB9Ph8ikQiRSPSl3SVTdXKOrkiNS+szKCUJ+e17oJFLKbKqE+KEL1iQTa458ToVCQWUpiaO3ZWmahGJZoxrvipmiH0GXxreQJChCS9PTAqj9qB33ItFLYtmVR9XnkCGBwOrXon1Cz4nx6LHpPKBIJpIpZR9sepEtknBLadXc8NbjSwpMPNJ83BsZ/fsxh7Om59FslaaELqxBwvyzdx1Ti2bOu24/UHqso2k6+Vc9PAmeifNaT5qslGUrOX8+Vk8u6kHs1rGWXMzeWFztJQtl4i47f1mbj6tits/aGFXr4MFeSYuXpRDt93NyTVp9I67eb9xmF8dVTKZMifl4+boDfK0ugweWNOG3RXgt8eUctGinIT32WaL5nwD7OyrpyxVyyWLckg3yLE5/Xzv8V3cdGoVddnRkuioMzEwpXfcSxg4pMjCho5RVpZZeXtXNH40RSfn0sW5bO8d43ev7OKkWemxNoDbH6Jrso8tFQn57bGlVKZGQ0YEAgFFk5qPHyzLj+3qp2Jt2wgj7gDewARdYx567B4yDAqS1FIKkrVo5VHSu3d1tDe8u3+Cj5ps/O3kCm54u4k/nVDO69v7OXd+Fvet3jv7flxVKuHJqohUJOS8BVmUTU5KuP3xFZS+cS+3vtvCQxfMTgw2SYufvgCoyTLGyssfNg5xxWObCYYj/OzwIv742l7v9Pp+BzeuakKrSLwtDzl8HF6SxM2nVXH9Gw385aRyHljTHmeCc9GiHIadfh78tJOWISfLS5Ooneylf1FkmFRcuDCLDKOC93YPUWBVc9aczAMKWHONcu46p5bXt/dPRswmU56qRbOfhfmKEitv7hyItTbSDQqWl1i/9VbX3wXMEPsMvjSCoQgOb3Da3YNCKiLfovrGPaC1yi8/updpVpNpVlOQpKZzxB1nyQrwxLoujq5I2S+xQ5TcpyaEvVs/ECP1Pbjn4zYeOr+OoytSeHpjN/98rzmahiYSsqTQwvcf38xHTcM8/b35iIVCdHIxdrcfoUDItl4HeRYVj19UB0IhkEb3qId/1maSppfhC0a4YEEOIoGANEPiDdXjC7CxI34Ealefgzs+bOWOM2s48971BMMRmgYnSNJI6RnzUpdlYGG+Ka6kfkxlCg0DDnyBCBVpOiSiaHTruCdAIBSmx+6iOl3PmDuQkNr2t5MruenUStL0CrKMCgYmAmiDEYKRCC5vkGyzGpVUFDPPmYrKND1GlZhV9cP84bX6mKjy6sMLSVJLOXNOJpdPCTSB6LSDzRmtGOgUEtpHXGzvGefnK4vwBEIoJCLm5hgYdQV46rJ5CAVQmqxFrYguDCvS9QlmMWfOzogbkTwYhMMRNnfaY20V7zTl6zUtI/zphHLe3ce6ON2gIM+qIT9ZS55FjVwU5l9n1/Ly1l4cviDHV6WSa1JxyaMbY9WFtW0jXLgwm3S9DLP2i0++zMoyUpKk4vS6dDRyIUb1gc9h0qmYrVJQm6FFJBJ+bjl9Tq6JO86qiUUo51lUX2oTMINEzBD7DL40XL4AAuD46tQ4EYxFLaMs9fPH076tKE3VsbvfkXA8GI5M65p2IGgVEiQiQYK9aDACmQYZR1WkoJSKEQkFzMk2cOu7TZOvBVu7xrh4cS7bu8f4/Wv1bO3e6xp33XGl6OUS7K4AKTo5f3y9nptOreSKxzbHUtIsahm3nVXNvFwzHSPR9C+xMFoV2BepOjn+YChGOjkmJU+s7+bBNR34gmGWlyRx6+lV/OrFnRxXlcqSAjOXPbqJ8lQdh5VUkKSRcdXT22JJgwCXLcnl+0vz4mb5FRIRNZl6Cq0atnePMuz00zHiRiIUYNHKWd82glgkoDRFx/qO0bgIXZNKyuWTDnJ/fbMhblLilneauO+8aBaGTCxM6AXLJSKyTUo6bE5+uCyf2ybzvIUCuO7YMq57ZRc7+ybIs6i486xZOH2BGLHnWRTcf14tnaMeHN4AeRYVOcYvnlPgC4VimfAw/chkjlmFUSUl16yizeZCJBRw0cJsci2q2E62bFIMl5cMJSkaIuEIEGFNmz1G6nvwxLoujq1M+VLEDqBQyMj6AtayErEQxJ8fv7oHVRmGGTL/N2CG2GfwpWFUyUnRyymyavj+0jw2dIySY1Zz8qy0L03qDrePbT0OmoecKKUiCq2a/0jyU64lce5/eUkS6fovZr3rC4a5cEEO96zeu2u9aGE2OSY5yQY1yQY1tZk6bn6nhe9PGZUDyDAqaRt20jrsjCN1gH+828zd59Ry1TPbkImF3H5mNc9s7ImLPh12+ljdNIJSIuL1HQNs6rRz4cJsJCIhSZq9BjhSkZCz5mZy8cNRZzaNTEy/w8ddU0ad3t09hEkl44HzZ3PXRy1c+FA0TTHbooJImMZBZxypAzy4pp2nLp1HKBzhle195JrVXHFILoVWDT2jLgJheHJdJyfOSqNx0EmrzUXfmIfiZC3be8cmZ6w1/GRFIaFwVK0fDocZc4cT+uPhCIy6/VSkafn+sjz+9tbe3nyaXkGxVcOfTyxnwhMkWSejNsvA0IQPjUzEI2s72dk3gVIq4vTZmfzro1YaBydYUWJlaZEFk1JCff8Ef1/VyOxsI0IEDIz7aLVF2wBTs843dYywsXOMHb3j1GTqqcnQM2vyb0EhEVOdoUctE+P0Banvd3B4qZVV9dEWhkws5Nx5WfziuW0cVZHKKbXp1GYZSNfJSTNNXyVKM0wh7LbRaR/z3c/vnMEXxQyxz+BLQyIWkqyWMS/PyLDDz4I8EyaVjJLULz8bv6PXwcZOOwIB9I97ufODFm46vYrZ2V89E/qLoCbTwD/PqObZjT3U9ztYVpTE8pIkMs0HJwRsH57A7g5gm/DRP+7l6sML8QbCyMRCBETImnKj1qvkHFuVyo7ecbZ0j6GSivjFEUUopSJ+89JOjqpISTj/uCfAnshl32SWe/c0LmbddjfPb+nl4U+jwStyiQixEE6pTUcqFsbEZ2qZiIhASGWajl8dVcy7k7vkqfi4eZhci4qRSVGfXinhxOo0LGoFgdD0FY6mwQmOrIiGjyikoli1wOkN0mlzsrI8mcsf3RybBDiqIpl17SOUpGo5oTqN2z9oie3YazL1nF6XjtcfwqSSxgnMlFIRGQYFRck6IpEIqXoF69pHyDAoqc0y8o/3mvigMTqKJhEJuPe8Ooqsas66d11sMXThwhzu/LAlJlrc3T9B16ibc+dlcuOqRrJNKqrS9XGRq0eUJXPlYfnRKk/fGNe/2RgzxXltez8ry6xcc4SU3EmleqZBxp1n1/BJywh2t5+jK1I4c04Gg47odfKvD1tx+kI8szHaBnruivn7JfV9MZ0J1bnzssg2fbtyIGbw78cMsc/gKyHDrCbjazrX2hYblz+29yafpldwcm0aO3sd3zixQ1SdX5ysYsIbwqpTTGt+Mx02doxy06pG1raNIhUJOXNuJps67Hw4OX42K9PAJYuymdqCnJ1j5ObTKukd86KQiiACFz68AYcnyPeX5ieouJcXW+Nu4Nt7xjiyPIVtPfE7+yUFZn45KZQDWNNq45ojinlzRz/besbRyMVctbwAq0bGIxfOQSUTkmlSxzzmpyLPomZTp50fLMvH4QmQYVSgEItYtXsIq1aOWS2NKwUfXmrlhS29iEVCyveJBtYrxZjUcv72VkPceN8bOwa4+vBCImE4vCyJ3jEPW7rsLC4wc3x1KgVWLR6fnxtPq+LaF3bQNynU/P3xZRQlRcvjRck6bM4ALUMuXtvWjz/UzNUripCKRby9a5BAKMK9H7fxqyOLOa46NabQFwsFCXkKr27v58SaNMIROLI8OSFs5q1dA5w4K5XSVB2do54Yqe/B27sGOWtu5l5iN2vRK6QUJ6vxBsIoJULMWiXv7R7k/17YEffcmkw9ZqWEtmEnKTpF9Lo4AGqzjPzzzGrerR+kZcjJocVWqjN0mD6nN/6fRNugg/4JP4FQmFS9nMKDNLLagzG3D7vLj04p26/V9P8iZoh9Bt8K2D0enljfFXeT7x3z4PaHkIkT57q/KRhUCgxfwOXS5nLzzMZu1k6WRf2hMA9/2sHPDi+KEfsxlSkIpxnpybFo8IcidI24CUUizM0x8U79IM9t7OSOs2bxj3eb6Bxxs7zUypmzMzjj3s9iz001KMkxK/neklwe+6wTiVjIpYtzSTMq4vr7kUg0WOXRi+YQIYJcLKIgSYlWGb+rK03RUJ2hi7UAtHIxhxYnsbFjlCc+6+Cq5UUIBHD545vpH/ciEwu5+bQq3to5QJvNxZwcI+FIlNgWThET7v1e5Sik3oR5cojGEKfr5XSPerhkUQ5aeT4GpRi1IvoeFTIphxRYuO+8WkbdAXQKCek6MQ2DHkbbx8kyKfn9q/VxrYE/v7Gb286sjin3h50+/vlBK5ctyUEiEvLC5t5pneXEQgFKqQjZZIrevi0A2Ot/sD/9xdTjW7vs7OxzsLN3nJIULYVWNW5/mFyzkt8eU8pNk6NvhVY11xxRTPOwE4lIRLfdTbpeQV6SZtrX2IP5uWbm5ZgIhcKIv4G885EJNx2jXtqGXVF75GQ1BQdJztu67LywpZfH13URDEdYnG/ix8sLqDuIRbzH52f3gIs2mwuxELpG3MzPMzE755vfAHwbMUPsM/hWwO0N0zbNLnHI4eOw4qT/wDv6chgc8087pjU84SVJI+WEmnRqs/Sx3X9D/zjdox4Uk1nuv3pxJ1smo0Ln55k4f0E2D3/awfrOMf5+chUquQiTSsqalhGyTCr8wTCXLM5hfq4RTyBMQZKSv51cGZ1nDoYxyCVUZ+jjMtgXF5hx+gIcUmBBtp+gjppMI386vowt3eMMO32EI/D8pm4uPSSPpn4HNqeP9R2j9I97Y8/pG/eytNDCkkILQw4vt30QFc1lT1NKlklEGJQS5uUY+ax9b294aZGFtmEn170StaHdkziWYbLEPV8oFFA6WQVoHXLwzOZBblrVhD8U5uoVhQn9fiCumnBYsRW704vTG0QuFnLV8gJmZUaT4jqmZBWcvyCbXIuSG06p5NPWEYqTNTRMSabTyMSxz5dlVEZjbYf3Xsd1WQZyTErq+8ZRyUTcs7qNN3bsdaJbkGfi+OpUzGoZ+UkqnrpsLnZ3kGStjHG3n129ExSnaBhzB/AFwviDYUqmOCBOh6iz5DczC94w4OL7T2yJBQbVZun51VElB6WxaRiY4OG1nbF/r24ZIS9JQ6FFjVa1f8Ge2+NlY/cEP3l6r4nPCdWpuPxBtApJbGTyfxkzxD6DbwXSDCpWliWza5+wj0MKLaTrvt70uX8ntHIxRVZ1QjJbWZqOoypSSNfLSDNGy7Lr20e49sWdNA85EQiiI1TLiiwxYl/bOkJlmg6NTEzvmJdP20b4yYpCREIBp89RUZttIBSKxI1dlaXqaOgfRwAx4vvtMaV82mpjc9cYdVkG8pPUmNXSGKnbJzxs65vg05YRIkRYmG/GrJJw+wetfP+QHOweJcNOH8uKraxtsbGk0MKNq5rijGl+dGgB93zUxvDkWJlJJeXHhxXg8ARI1sp4ZVsvWUZlnAK6Y9jFz1cW8de3GtjcNYZYKODYyhSufnZ77DE2p58b324kXS8nxzL9brXH7uX6KTG3vWMe0vSKhDHDTKNyUsxmoHfMw2l16VzyyEa8geguXCyEhy+ay5YuO202F3NzjJQmazCpFRxfnUamUcnx1ancv7qdj5qGKU7W8LOVRbF5//J0PdefVMFr2/vZ1GlnYb6Zw0ut3PdJB+/tHuKKpXlxpA7R3PhNnXae29RDOAIrSq2cOy+LUDhMm82NVSuPG987tTaNixbmfC65fxNoH3Zy98dtcSmAmzrH2NXnwKSUkL2f32sPtu/TNoLonP+5czMOSOydYz5ufa85TmPx0tY+/nZyBX12zwyxM0PsM/gWYXG+iUFHJs9u7EEqFvL9pXmUpmjIMB/4BvFtQoZJzfcOyWN7ryNuFxOd6d+7ixkc8/LQmo7YzjISgSfWd3PDyZUIBMRGudptUfLLNCjQKCS8uKUXtUxEnllJQXLizV0kFFC2Tz+7xKpALkliRWkShCPoVZK4WfwtvRN879GNsZL9Q592cM+5dby1a5BFBWZe2NzLpYtymJ9rYtzr57HPumizOTmqIpl36gdJ0cnpsbtjpA4w4vIzPOEjTafgjHvXAdHxu3+cUcXC/Oju26iWsbPPQVmqjpNr0ylIUrGrN7E0v713HKcvxMaOETZ02GkcmKAu20hlmpbKDAO9Y964x7+6rY+fHl7IjW834QmEyE9Sc8Uheby1c4DiFA2zsw28uqWXHb2OGKlDdMTw/17YziMXzCZnmpJ3zaT6PdcsZ8iRj0YuTlhszMkxUZ2mxekLEQ5H+OVLu3hnd7T8PzWbHaIq+HSDgn++t3cc8J36QdINClJ0cuoy9Zz/4Ma45zy7qZdDS6zfCmIPBEM0Dib+Xr12Dy3Drs8l9rykxEpOaaoW4+cENjk8Qer7EsWaoy4/2dO4IP4vYobYZ/CtQU2WkQyTnJNnpSMUQkWqLmaD+l3CogIL959XR/tItO+YbVYmiMdsLm9c4MwedIy4sEzJYq9K13Pegmw+ahziggc3xDQIC3JN/PKoIirSDzwKuKNnjNXNNh5Y004kQsxH3jrJC5FIhFe29lJkjYbldNvdyMRC5BIRt55WTYgIm7vGuGJyFO+02jTEk3P59f0TnL8gm9394wm7Y4DGgYm4Csyw08dN7zSRrpfjDYS588NW3puivj+2MoWz5mYmnKcmU49QCNe9Us/OyfO9tLWP0+vSMaslpOxT0XH5Qzy3sYdHL55Nx4gbjUzC5Y9vii2Wnt3Yw13n1NIy6S0/K1PPFUvzGHT4UEhEOH2JxjE7e8fY3T/Bx802ckxKFuabqcyYnrikUglGqYR1bSO82zAYO94x4qI8TRvLlc8yKWkcSCTGTZ12ktQyylN10+YGdI+6mXD70HwFM6avA0laBcuKknhqHyOn/CR1wiJmOlRn6KlK18UEn2a1lHPnZWFQH9gjQC0TU5dtYHWzLe54ql4Ryw/4X8cMsc/gWwWzWon5W6zinQ72CQ+9Dh+BUASVRIBYJKQux0hdzv77jHqllMo0He/v04/PNCqxuaKkPifbwNxcI40D49zxQUvcTf7TthEaBp2fS+y7+hzc8Pbe8awbVzVhUEpZ12ajJFXP/FwjTm+Qn60s4orHN+OcfI2SZA03nBLt1Z9QncqbOwfwBcM8v6WXW06rZnWzjbd3DUTL01UppBqUCTfaIytS+PPru+OO7egZZ8wbYtjhiyN1iCrQT61L55LFOTzwSTvhSNQ45+eHF9E65IqR+h48u6mHE2elkW6Q8+PDCrjt/WbCkeiNf48IqzRFyxWPb44zswmGI7xTP8gZs9MxqyRcsTQvZvMKkGtWctOpVTEbWK/Xxzv1g9w6ZWf97KYebj+r5oC9ZIlYiEIiwj05TvfKtj5+dGg+c7KNrG62UZdtJEUnjwn69qDQqmFDxygKiZAiq5rGKRnyUpGQPLOaHX0TJGm85Fv/czt3vUrKaXXpdNvdrGkZQSYWcvGiHHb3Ozi+KnFEc1/MyjLy15MraB+OxgznHqTznFkl4pLFOfSNeWgdjpr4XLwoh8Ik1Zc24vlvwwyxz2AGXwGN/eOsbR/lzg9a8fhDnD47gyMrkukccZJl2v/Me5pByaVLcqnvn2DAES0lH1FmpSRFy7/OmoVQKCDDqKQ4WcvGjtFpxWB99sRd8r54c2d/wrG3dg5w9txMLn90E3efW8uPl+dzw1uNMVIHWFJo4Yn1Xby6rZ80g5xfHFHEg2s66LF7GJ7wcc85tby+ox+ZRMicHBOpehk/WJrH/ZOVgYsX5ZBjUsalz0F01M+slMb84veFLxjm0kXZLC20MOELkmFQUJ6mj3npT0U4AqFQhAKrjpNqhMzONjDi8pOmV1CZFu2zRohPxtuDQDhMTZaRhy+ew69e2Bn3mDabm539EzFibxx2x/nKQ9RjoWXIGUfsvkAIh8dPJBIhSaekNEnBFUvzuGlV1E0wEoF364e48dQKDi+1MjThw6CSUpaqjVU20vQKsk0qekbd6BRifndsGde/2cCO3nFSdXIuW5LHI2s7qEjTsqQoXlD4ZRAORxgcczLmDSMRC8izaL6QV/usLCO/PqqE3jEPTl+Q9+sHOa4mjfLPWXDuQUmKjpKUL7Y4SdKpCIbC3HRqFQMOLxq5hByjnFTjV0+1+2/BDLHP4H8au3rH6Bx1M+ENkm1SUZGsQHkQaXAAPTYHzcMurntlb5DHfZ+0o5GLOaLs8yNs5ueZufvcWjpH3FGDFZOSIquGqn3yrrUyMYvyzby6PZ6kCz5n9Akg3ZD4WdIMCnb1O5jwBdnSPcbyYgtttr1EW56mpcfuiWV/Nw44uf6NBu48exahSIRck5KiFB05ZiUbO+1c92o9WrmYKw/L5+hJM538JDWtwxNctDCbhz7tIByBDKOCq5YXkKJXoB9xkWVS0jmF4IutGrKMSqy66H9TkW1SkqKTx6nwlxRaYn74WWYNWVO0GE6Pn6ahMeRiEWfMzozzuRcIojPpEO1z943H9+gBhhxeRp1ejGo54QgJlsAQv2Bo6B+j2+6jZWgCuURESYqWdJ2Uw4qTyDap2NU3TqpeQXmKjise3xL73AIB/On4MgwqGT12N6MuPy3DE1x9eBG5SVpStX6uO7YUpy/Ih41DWLUyytJ07Op3oFFIkQiFXzq/3BsIsbtvnFW7h3j40w6UUhHnzsvimAoreV+gElCSqiMvKSoYXVJowXgA4dvXAYFAQJpJS9rMZNt+MUPsM/hOwuP1IxELEQhFiQlbB4lt3XZu/6CFd+qjJWG5RMjtZ85ieennE3tT/zi+YITP2kYS/t/rO/pZUXpw2XRVGfoEIp+K1qEJxGI4Z34WQxM+1rWPIpcI+d6SXPIs8b3IoXEXbn8Ek1qGZtLn/KiKFF7d1heL0tTIxBxdmcK5968HorvMPIuKFaVJPDTpTrekwJIQ3BIMR+gf93L+gmwARie8vNcwHKdGv+jhjdxzbh3LS5IQCASUpOq5VBGdf5/wBck0KClL0+H0+AmFwvxiZRHv1A+ysdPOgjwzp8xKI3MfD/ZAMETT4ARqaXRO/vnNvezqG2dxgYWVZVayp3EC3Nw5ystb+3hlWx9WrZxfHVnM7WfW8PSGLiRiEafXpVOZFl0EJKulHF2RMiV2OIpcs5pgOFptyDLJOGNOBo9MGc3SysXkT5rO+AJBWm0ernpqS2wBkKqTc8vp1czONlKaquPYqlQAXtrSE7eYiUTg1y/v4pGL5rCy1IrDF8SqljIw4afP7ibVoCRZK2N9h5uiFC03rmqK5c5/0DjM8dWpJGlkpBm/gNnCJAbH3WzotLO2dYQfHZrP8ISPUCRCx6j3CxE7gFQsmnYROYP/DGaIfQbfKQRDYbZ02Xlr1wDbe6I3+IX5JvItKnRfUEzUbnPFSB3AGwjz17cayDQqKDzAyEzbkINXdwyQZVSQrE2060zWyWMxpV8WTQMONneNcf8n7QTDEc6fn8VvjilmeCKAUioiyyQjWbeX1D5qHOKRtZ30jXs4uiKFhXlmarIMLMw3c+95dTQOThCJQEGSmuvfiva9xUIBNVkGxGIxx1WlMujw8tauQVy+ICa1lEFH/MjeVOezYZefp/cRTUUisKlzlCyDgsLJEbwUg5oUQzz5dtrdXPvSLnrHPMzK0HFkeTLr20fxBlOQS/cqonf3jfFx8wj3fNxGIBzmgvnZ/OSwfEJEyDCopi0Zj7n8PLeplyfWR6OE7e4AFz68kQfOr+Pec+sQCIib3Vcr5RxZkYzLF+TV7X0YlVIuWJhDmkFGkjZKlkaVkhNr0kjRynlz1wA5ZhWn1qYzNze6ZewcdfPgJ/ERqn3jXrb1jJFpVJKi37tY2d8iVCoSYncHCIYjvLC5jzs/aqU2y8D3DsljXq6JDIePlsncgKl4ZVsfZ8zO+FLE7vKH2dRpZ1lxEhs67FRn6PGHwnSMuGjoH6f4C5bIZ/DtwQyxz+A7hcYBB1c/u52uSV/0DR12dvVa+fnKoi9M7KOuQMKx1mFnQl94XzQPubnjgxaq0vXRuNApgSoysZALF+SQ9TljN5s6RvmsfZT6vnHm5BipTNdRk7m3pNow6IyzGL3u1XquP6mCM+ckqsY/bbHxvcc2xUa3dvdPML44SJZRilGjYm6uibm5Jnb0jLG5awwBApYUmjl3XjY1aVp29Y4z7gly8qx0Lj8kD6lIQFWGnp8+sy32GiXJGgosewlaKhKilifePtQyMSES3dmmYsTpj6noN3ePs3nS3a53image8RJ46ArriLwz/dbMKikXLgwMWN+D7rsbl7c0ht3LBSO0GZzcUjR9EZHuQYpZ8zJYGV5MpFIBK1cgmGfTPSaTAM1mQZOqUtDJRajVOxdgITDEZy+ABcuzEYlExMOR3h5ax8jTj9ycfxUR45ZlWBic0JVKj12N797pR5vIMRx1an85uhSfv78dpqHnNx1Ti05Rtm0WQB7Pt+XQTgSYWmhhTWtIygkIm5+pwmBAMwqKUqJCJVURMYBdCIz+PZihthn8J1Cm80dI/U9eLs+6sedYVQim9wpuzwemoa9ODwBTGopSWoxSbr4m1TGNNGbi/LNGBT7n6MdHPfQMjxBOAJbusdo6J/gltOr6BhxEwhFKEhSU5OqRCjc/5jert5xfvPKrtgs7us7BjihOhWDUhorLa/aNZDwvBe39HJURTI6RbwndvOQM24eG+DxdZ0cU5mCcUobviJdT0W6nsOKLcjFQsxaBZs6R3lxcy/PbOwhGA5zRFky5y3IYk6mjvvPq6XV5kKnkEQ/15SUvRyLmssW5/Kjp7bEFOc6hYTKdB3F08zXT4VBJcWqlSVUBJJ1MnZ029nUPcaG9lFC06wPXt/ezwk1KRiU0webSEVCTGopPXYPIqGA2iwDoXAE5ZQKSutQNNyl1+7BqpWTYZRTm2UkEAgQDguQyfZ/W7RoEq+ZVK2UHx1awO9e2YXN6UchEXH50jxqMnQY1PGLzfI0PX87uZLVzcNs7R7nkEIz+RY15z24IfaYFzb3YlHLqEjTsaN3nO5RN+VpKWSbfWQYFXSP7l0ArSyzYlR+OY/0TJ2MCa8Km8vPTaua+MHSPDJNSjpsbkIRGHL6yZjpY38nMUPsM/hOYbpCpkAQtRjds3MZd7nYPeilx+5GIRGxvWeM6gwD4TAkTykLz8rQ8fvjSrnhrag/d2WajisPLThggptYJEQsFKJTSBj3BPjTG7vJMCo4oy6Dw0qSKErWfq6quGPElWCw8fK2Pk6tS48R+3SBFkalFIUo8dySaY4pJlPcpkP6lLLtzl4Hj63riv37jZ0D5FhUnDk7g8NKkznsAJ+jNlPLPefWsqHdjlouYlamAYta8rmfvyJNz++PLeNnz23H6QsiFMCVhxWQY1bwQeMIv3+1niSNbFqdQrpBgWIan/09KE7R8pPlhby9q5/jq9PpGnUhl4hIMyjotk2glAtYVT8YF+t6xSG5SEVCcpO+nGNZl93HH1/bHbOs9QRC3PpuE49fMnfax9dlG2NudQC/fXlnwmNW1Q9y1pwMdvSOo5pcaMjFIq47toxPWmzs6BlnSaGFinQdSumX83rQqhWkuIOopVGx54QvyDXP760SHVJo4bpjS/br+DeDby9miH0G3ynkmFXkW9QxcxGAYypSSNHKUMrERCIRPmuf4JoXtjPmDqCQiPjJigJ29Y1jUEpINsCWzlF29Dqo73dQnqbl0Yvn4PKHSNHKyP+cAAuTWka2WclVywt4ZG0n7bYocVRm6A+6Jznd+FUkEl9SXVFq5blNPbEZaKlIyOmz05FKE6sJhVZNwg74iqV5n/t+IpEIGzsTTXI+bBzmlFlpn/s59vTPV5RGS9j7I/RNnaO0DrkIR6IVjdpsI0vyTTx04Wx6xzyYVFLS9XJCEXhicpExNOEjVa/AoJRgn0xcU0lFnDQrHbnswM5kc3P0iIQCrnxqc2zXvzDfxPcPyUMkEnDLO81xj7/r4zbm55rJPUAkgW3CReuwl+EJHwaVBINSQmmqHojmwO8ZWdyDcAR6DmIcESBjGtFZtklJu83F6XXpZBqju/6SVB2+UJjF+RaWFiURCoUOyrr1QMhO0lDu8mPSyLjqqS1x/++jpmFahjJniP07iBlin8F3CmVpOq4/qZyPm23s6B1nQZ6J2kwDkklRUn3fOL96cUcsftMTCHHDW43cekY1QxM+mgcd3PpeSyxpjQ1wdEUyPz6s4HNJfQ8W5JrZ2DnK95bkoJZLyDAoDspYYw9yzKqEkuqSAgtpur1l3sUFFu49r5atXWMEwxGqM/TMyZz+BluXbeTWM2pY3zZK75ibhflmCq3qz50WEAgElCRreXVb/BhdaYo2rnR9MNgfqX/WNsKPn9oSW3RY1DL+eWY18/PM0Z3rlMd2jjjjBHq3v9/CJYtzMKtlCASQb1GzYJqkuH0x5gkgAH59VAkOb5D7P2lnTcsIR5Qlk6pX4N+nxh+JwKjbN/3JgLZhB2tb7Vz36i4CoQgSkYA/HFdOJAJlaXokIiFGlTTBbc06jbByOlRn6Mgxq2ifDEFSSUWcvyCbMXeAPIuKbLN2ymMNOL0Bhp1+jEoJui9Zhp+K2iwjHzYOMV2r3jmN890Mvv2YIfYZfOcwO8dEbZYRfzCE3x9AO8WC0ub0x4VDQHSHbHcHSE6R0zni2Uvqk3h9xwCn1mYcUAk/FRqFhGXFBzfONh0q0/XceEoVr2zrY0fvOIvzzRxanESeNZ64F+ZbYr7qn4d5uSbm5X7xhujcXGOcmMukknLyrHSs+q9ndOnd+sG4SsKw08cbOwaYn5dI0FkmNZcsyuHKp7YC0UXZg2s6uPvc2mmjX6fDmuZh7lndTvPgBPPzTKQblXx/WT5/fbMBbyBEukGORS2L87VXy8Sk6/dvY9o/5uMPr9XHVO+BUITrXt3FAxfMBsA24ePyQ/K4aVUjvmAYoQAuWpTDAVr1cajLNnLzaVW0DjvxBcPkWVTUZBhiepF9oZZLUMsPXLX4IhAKBWSbFJSnauPc/Swa2Yz3+ncUM8Q+g+8khEIBcqkY+T6xo0aVFK1CjMOzd6chFER7s9nGRMHWHuy7i/t3Y26uifIUNePeIFatHNEB+sb/TtRmGbn9rGraht0EQxFyzEoKzHI2dowy6vKTpJVR/QWqEfuieSjRC33PsUAoTGP/OMFwBJVUTL5VQ2W6lrvPrWV10zBahYSFeWYW5B3cgmVb9xg/eHJLrFrz/OZe5ueZWJJvJtukpMCqoShZx99PreT3r9bTbnORblDwx+PLqEibvm2xu3+cAYcvIYfdFwzjmAz5SdbJueHtBi5bkks4AlKRgMZBB0bVwe3YBQJBTHX/n0JukpbfHVvK4+u6+LR1hPI0HRcvyqH6K76nQDDMtp4xOmwu1HIxGUYFZZMtjBn8+zBD7DP4r0JFup4/nVDOz5/dji8YRiQU8IuVRaTrZJg0KrJNwYTM7dIULRnGb35nolLIUCn2P6IXiUToGnXSPeojEAqRpleQn6RB+CUNefaHkhQ9JSl6AIbGnby2y8bvX63H6QtiVEm5/sRyVpZ/vvf3dDi02MpHTfEe8stLrLh8QXpHXTh9oagXugBG3AEKzVJWliWzsiz5C79Wx4grRup7sLZ1hCPLk7nu2FJKJtPElhYlkayV4/QF6Bv3sqN3nBGXn3yLmsp0fdz3Gw6DUSVBKd3r+Q5RcaJVG/3tZmXq+e2xZfzl9d20j7iZk23kZ4cXUmD9bvWmZ+eYyDIqGJzwo5OLDygiPVisabXxwye2xEr6K8usXHFI3ldeMMzgwJgh9hn812FZvoEnLplL/7gXo1pKuk4eu0mVpuq44ZRKnt3Yw8ZOO/NyjJw0K42SlP98hvOEy8XmXjcfNAzh9AU5rS6Dxz/r5OVtfUA07e53x5XGKaq/CHb2jjEw7kVAtLIxnRVpm83LtS/ujFUwRl1+fvniTqxa+QFvxn2jTvom/Hj8IQwKKRa1CKteTXWGjosWZvP4ui4iEThzTgZ12UZ29zvwBkJc8djmWLiNViHmX2fVslD75QhROk0SoFQkJNOgpDhFHWdTKxJEeGp9N89t3jvzfsbsjGjwyhTRYbZRjt3t45ojirnx7UYmfEHUMjF/OqGcIkv0fCKRiBWlyeSYlLgDYfQKEZmm7xap70GSTkmS7utZ5LYNT/D3t+MzCN7eNcgR5ckzxP5vxgyxz+C/DhqVklrV/m9Oc3JMlCerGXQFsCglqP/D8Zd7sKXXxfcejRrNRGeYx2KkDrCjb5yXtvaSrJXFjawdDD5ttfGHV+tpGJggWSvnksU5+EJh5uXG9677xr0JbYlRl5+B/bQwABr7xvmoxcY/3m3G7Q9RmqrlN0eXoJIIqcowkG9ScUxlChEE5FuU6JQyJlx+/vRmQ1xincMT5I2d/czJMSARf/HWRI5JQV2WgY2d9tixixflkGlUkLwPWfWO++JIHeDpjd0cUZ5M0ZTihEohQyOXUJSs5vazahj3BEjWySmzKlDtM0t/MOLL+t4xtEoJ/WMeJnwhLGrp5yb0fVfh9IamjaUdcX5+pOsMvhpmiH0G/5NQKmTkHKAM/k0jEAyxpmUkZjSzrMjC7v7Em+InzTbOnZd10OftH3My5Ajw6xd30japuh5wePn72438/rgy6rLCiKfsdJM0MoQC4hTSapkYs3p69bXT46PD7uEvb+x1iKvvc3D7+y1ce1QJpSpQKaXM2qc6IJMJ6bEnOqn1jnkQ8OWc1IpT9fz66BLq+x10j3ooS9WSa1GRu09YTjgcweNPdBeMRMDtT1SB75l4GHJ4kImFX9jhcA929IxR3+/gzZ0DpOoUHFWRTP+YB41M/KVH1npHnLTY3HSOuDGopGQbFVR8BU3E1wmjSszCfDMf7SNW3RPcM4N/H2aIfQYz+BYgHIngnyLQahlyUjaNoKsuy4haenC72XA4zKgrSDASoTxNR++YJyYC8wXDjLj8BMMRpm6OMw1yfr6yiL+/3Ug4EjW/+c0xJZSlTE88/Q7ftBGsa1pH8AX3b83rDYQ4siKFNa3xITpHlCWD4MsZrgBUZxo+t8wrFApIn/T5nzp/nmFUkHkArUWS9ssTksPlYW3bSNwC6OWtvdx3fh02l5/sL5nA+mm7nV88vz3m/reiNIkfH1ZI+X7EgN8k0o1qfrAsj+EJL/X9E8jEQn6wLJ+caRwfZ/D1YobYZzCDbwFkEjGLCsw8vDYacbqqfpBjq1NZmG+KRY5mGBWcVpd+0IEfGzrs/PO9Zta0jlBoVfOnE8q5/s2G2Lx1jkmJfJ+RqkyzhiPLBJSn6RhyeEnVK8g1KVDsxxRmj8BuX+RZVKgOYCSjVcioStdy9eGFPLimAwHRsnl5qiaugvDvgjAS4R9nVHP7+81s6RqjLtvAFYfkIxXA2zv7GXD4SNLKyNQrKEvXf+XX67T7eGhNR9wxlz/E7v4JKtK+nL5je7edv73VECN1gHfqhzi+Ou1bQewQbXvdekY1vWNelFIR+RY5RvUXD6yZwRfDDLHPYAb7oG/Uhc0dQCUVkXcQmedfFwotCu46p5bH1nXi9IYIBMJcvaKQs+Z4CUeibmQVB0kyu/vG+e3Lu2gcjJbzmwad/O6VXfzo0Hz+9lYjZ83JINc8/Q0226Im23JwimidXEquOap2fnvXIBCNv/3lkSUUJh/4u6tIN5BvVrGsyIIAyDEqUH5D7ZGydAPjbg9/PL4MbzCMXi4mEoHHN3RzxwetscddtiQX+ddwHYQj+28v7K/N8XlwB0IxG9upGHcnhhv9J1Fg1VJwkOZPM/h6MEPsM5jBFGxoH+He1e2sbrZRZFVz1YpClu4nFezrRoZZS4ZZy5wcPcFwBI1MgoBIQn/68+B0e7E5feRaVAgE0DApYHL7QyRr5dx3fh2ZBjmFnxPWcjDITVKztdvOFUvzOK4qFacvSLZJxezsg+vzKuRSytO+unval4FOqWCqpu7TFht3fRSfQ3/f6jYW5Zu/MrEna6WcNz+bv761txSvlIooSdF8actWi1pObZaBTVPEgiKh4HOTBWfw349/f81rBjP4jqBlcII/v76bVfWDeAIhtvaM88MntrCxY+Tzn/w1Qq+UY1YrkEnESCVf3GFs96Cb1S02mgad5FnU/N8RxbFRMI1cTIlF+bWQ+h5UZxhI08vINatYlB+NiD1Qut23FWMef0IEajgCY+6vruK26lTMzzXwlxMrOKTAzKl16dx9bu20DnwHi7wkNdccUcScyUVUslbOTadWUWidKXX/r2Nmxz6DGUyib9zL1p7xuGNOX5B2m5u67O9GfuX/t3fv0XFV9QLHv7+ZzEySmTwnz+bZtE3fbUpDBURuFQTkVZHHpXB5iHf5Qq+iC5WLd+GSxVq6WIpXveIFFZSHyF2KVr0obUHAWyq0tKWv9JE+kqZ5vzOZPGffP+a0JE1bkmaSmTn5fdbqysk+J5O9Z/fML2efs/evprWH763fx+ZD4eQu1c09bD3azu0XltDQ2UdxRhIFWZG/vZCdkky85wopykgmy+ceNbyd6XVHbPGi5cWZFKYncdWSXNxOITlx8iMVq2b7+c4nltISGCDZ7WRJQfrkK6ringZ2pSyJLgeeBMeY5UN94130OwbUtAVPBvUTGrr6WDIrlTXL8ykfZwa6mWhpYTrfv7mCh/60hwNNPczN8fHNqxdGdKlX/ySerD+TspwUyiL+qiqexc8nllJTbEGuj8+vnsOjG95L67m6PJuSrPi5Z5ngdIyZhw5YqWVjY35zLLukPJvH/mUFncEhUhNdcbcs7NmEQoaW7l56+kM4HZCbmjQm14KyB+1VpSypyR4uX5TLvJwUatt7yfK5mZPtY1EcXeX6vQmsXVXMs1Zec4AVxekU6aIg4zY3x55PcO+t72RPfTe/evMoDoE7LyqlojCFspz4+f+txkfMWaZhxIvKykqzZcuWaFdDqZiwo7aN/Y0Bttd2UJ7rY3lhesyuzR3oG6S9d4AktxO/b3zZ0NTEtXQGeaO6lXtf2DGq/MdrV7AkP4XSaZzWqSJHRLYaYypPLdcrdqVsZnlRJlk+D6tKM0hPdpKWHJtX61XHOzjSFuTPO+vxuhK4cmkelUU+fMnxc+sjbjiEF7ePXhv/wjl+2gL9hNCgbjca2JWyoYKM2J7y1NLdR3VLL/c8t+1k2W+3HeOJOypZPV8De6QlOCHFegjUk+Dgvivm80pVE9/5yz7OL23ic/80hwsmMfVOxZb4m2yqlIp7wYEhfvXm0VFlg8OGV6uaqG7qIhAIRKlm9pSenMgNKwtJcAg3rSzkqU1H2FTdSu/AMK/tb+ErL+xge037+7+Qigt6xa5UDDrY2EVdRx+eBAfZKW7yUpPwJk58sZpY5U5wjlkMBsLBvaN3iCOtQeZlhSiOo8nxe453UtfRR0qik9LMJPLSY2vUZEVxCj+7o5LGrj6eGfFwJYTXcKhp62VhrhePJzorAarI0cCuVAzZd7yTzv4hHvzDbvY2dON0CHddVMq1y/NZmJeKxzXxPOWxKCc1kVs/UDwqd7rTIVxSnsWBpm7W723iUx+cHTeBfdPBFr7+u3epbQvidjq458NzuHxhNgsLYuehxYzkZJbPClHlciACpz43nehyEtJBXFvQXlQqynbXdbB+TwNvHW6lo2+AJ//vCHut9d2HQ4af//0wR1oCNJwmf3m8EhGW5qfw6M3L+dC8LC5flMuP1lbQ0NFHdkoi7YFBNle30jcQWwlNTqe6qZvv/qWK2rYgAAPDIR7dcIDajn46g7FV/4xUH4VpidxyftGo8utXFOD3uuiPg/dbvT+9YlcqSqobu6jv6qerb5Dn/1HD36tb+fzqOQwOh8Yce7ill8qi9Omv5BSal5+GQ2BB/gI6egd591gH5bmpfOWF7dx5USlVx7sYDo19L2JNZ3CIHacsRQxQ1xGktjVAmpWRbzhkaGztoXvI0D8UIteXQG7G+LLoRVJRlo+1lUWcX5pJTVsvuSmJzM5OxuEQ0lNicwaFmhgN7EpNs9rWHhq7B/jhxgO8fqAFT4KDuy4qpTwvlR+/Ws1DaxazYW/TqJ+ZlZaIwyFRqvHUmZOXRnVjFwPDId481MYz/6jhtgtK2FnXyU0rixCJ/VsPPo+TuTk+Djb1jCrPTUnEN+K5iPr2bvY29/KDDQc42trLZQtzuP3CElZOMHtfJCwrziDb52bJrFQCA0P4ve6Yn0mhxk8Du5qxunsHaOzux53goNg/9R9q9R0BevqGOdzaw9/2t/L6gRYA+odC/Pfrh/juDUsRCQ9T+71uWgPhZCSXLshhXq6PNO/05CqfbnNyU0l2OfjMJWVsr+1gV10XN64sZEm+l+Q4WKe/PC+VB65awJee305X3xAAa88vIj/NQ7GVQKa1p5+jbf184bltJ3MR/H77cTqDg3x7zSKKMqf/yj0/00v+tP9WNR1i/6xRagpsO9rO1pp2Grv6wkOS7QEqS/wkTsHDab29vWw73stfdzdQ1x7k1g8U8fr+5jHH7Wvoxu914/e5+eHaChq6+vG6nBRmJDInJ4UkG6/rnZ/pIz/TR0VBCoMh8LiceFzx095LynN48q7zqWnrJS3ZRW6qhxK/7+QoS8gYDrcGxiQYenVfMw1d/VEJ7Mq+4ufMUSoCOrt7qWoO8pUXdlDXEX7Y6Yk3DvPwx5fgcrTzgbLILtLRPzDIrsYgn3t2K13B8NVce+8gC/NTOdYeHHVsYUYy168ooDgjiRBQmJ5ESdbM+sBPSvQQj3d5nQ5hZWkmK0tPP6ye4nHhPc0fZqlJCXic+gyziiz9H6VmBGMMta3dVDUHeaem/WRQP+H76/fjSYj86dARHKSqoftkUAd4p6adi+dmkZ783v3XisJ0lhamceuqIhYXpLO0IH3GBXU7S3Q7Kcv2cl5x+qjyey8rZ2Ge9rOKLL1iV7YVChm6g/109g3z9qFW5ualUN3cQ3BweMyxPf1DJEzBldPQ8Nj5wgBPvHGIn99ZycGmAD6Pk7IsLwtnaZYtO1telMF/XLOIA409tPUOUJblZW5WEi6XfRYeUrFBA7uypZ217eyo62L9ngZmZ/m4YnEubYF+2nsHSElMwJPgGHW/8/YLSshMjvzpcKCpk3k5PrxuJ4GB9/6guLmyCAeGisI05ufbM02oGmtFcQYrYjTTnrIPTduqbKe5K8CTm2r5yd+qT5b5vW5+tHYF7x7rJDUpgYHhEBv2NFHfGeSqpflcviiHpYWR/8B991gHLhGaAwOs21FHXXsfVy/Lp6IwjSXW/GallDoXmrZVzRh1HQM8tenIqLLWwADHOoIMhoYJ9AshE2JNxSwKM5LIT/VQOkVLly4rTGdbTTvJLuHeS+eR4BC8LvB5NYNZNDR0BqnvDBIyUOZPJkNzwCsb0sCubMdw+vvaw8OGyxdkU9c5QMiA3+tiTlYiqVMcZHXoNTYcaeriSFsfmw+34nI6CJZm4vf1sXBWerSrplREaWBXtpOf4ub2C0t4/PVDJ8sykl3MzfWypyHAecUZlGTpKlt21hXox+kAb5IHYww1Ld3sa+7lnmffYcjKKvd4goOf3TlmFFOpuKeBXdlOXoaXq5fkkZeWyPo9jZT5vVy9LJ/yHB/nl/qjXT01hfYe72RnXSfPv32MlMQEbr+ghJwUNwebenhpV8PJoA7hFf/W725kYW4KWak6JK/sQwO7sqXlxRmU53q5ccUsPAmCx605pu2uqSvIjmOdfON3O0+WvXGgmf+8ZQWBgWF6BsZOc+zsG6RnYJjILkukVHRpYFe2leRxx+UqZpNVVd9F/9AwmckJFPnjI595JPT2D/P05qOjykIGth5to6d/iI8tzuPN6tZR+z+2JI8sn/7Rp+xFA7tSNtHSGWRLbQeP/HUfh1sCfHh+Dp9bPYeVJRmI2C8z3KkEc9rVA1OTXPQPhshJ8fDt6xbzmy21JDiEuy+ezYIc36gMbErZgQZ2pWxif3MPX/z1NgaHw/eRN1Y10TswxMPXL6FsiqbzxRJfYgJ3XVTKOzXbT5YluhwkuZxsrGpiX2M3iS4n37p2EV5PAqkeB4UzaERDzRwa2JWyicMtvSeD+glvHmqjuXuAsuyJvdbgcIjDzT0MDofIT3OT6Yv9eff+lCQW5Hp57Lbz2FDVREaSi9lZyXT3DXP54jwONfewvDCd2vYgg0PDXFdREO0qKzUlNLArZROpSWOHlNOTXXhcE1sDv669h6qGAI+u309dR5DrVxTy8Yp8lhXF/nz88vx0slOS+Ei5n8DAMM+8Vctv36njaGsvAJuqW1lTMYsrFuUwMBQiSW+vKxvS7G5K2USJP5kPzh09ne+rHy1nYd7E1qKvaevjM09vZU99FxeU+fF6nOxr7KG6qSuS1Z0yGT4PHo+bvsEQBelJJ4P6Cet2HAccJLqc0amgUlMsKlfsIvIIcC0wAFQDnzTGdFj77gc+BQwD/2aM+Ws06qhUvFlWmM59V8znhvMCdPQOUuxPpsyfhGeCAexwS4ChkOHrV87npV0NvLSrgWS3k69+tBynQGl2fCStaesd4EyZMLwe54TfF6XiRbSG4tcD9xtjhkTku8D9wNdFZBFwC7AYmAVsEJFyY8zYCahKqTEqijKomOSQeaLLyQVlmWyqbuXdY50A9A4M89Cf91LiX0max0FGauznEHcnOOgODlKalcyRlveu2q9ZNouidF2QRtlXVAK7MeblEd9uBm60ttcAzxtj+oHDInIQWAW8Oc1VVGrGmp/rY3V5Do+8vG/Mvh3HOnE6hNUp3pifQuf3eSjL9nHbqmJaAwPsquvkQ/OyWVWaQaJbr9aVfcXCw3N3A7+xtgsIB/oTjlllY4jIp4FPAxQXF09l/ZSaURYXpDM4bJif62NPffeofS6ng5/8rZoSf3LMT6Hz+xIpyRzEneCgvqOPVbMzyfa6yUtLIluXkFU2NmWBXUQ2AHmn2fWAMeYP1jEPAEPAsxN9fWPM48DjEM7HPomqKqVOsbwonfuuXMDnn3mH4GD4Ttjq8mwONvVQ2xYk2D9MY3uA3IzYTqZTmp0yZSl5lYpVUxbYjTGXnW2/iNwFXANcaszJJJt1QNGIwwqtMqXUNBIRFud5efyOlbx9pI0Eh4PdxztZt+M4/3pxKVtq2rmoLJPcaFdUKTVGVKa7iciVwNeA64wxI+eirANuERGPiMwG5gFvRaOOSs10OWleCtI9ZHk9PLXpCK9UNXFzZSHLi9J5cN0eth+Lj+lvSs000brH/mPAA6y3HsDZbIz5rDFmt4i8AOwhPER/jz4Rr1T0lGWn4hBhbo6X/sEQT246whd/vR2AjXubuOG8QhyO2H6ITqmZJlpPxc89y76HgYensTpKqbOYlerhp68d5vm3a0eVl2V7NagrFYN05Tml1Fm53W6uXT6L9OT3lqzNT0vkkvIJLkCvlJoWsTDdTSkV45bkp/L47Ss52NSDwyHMzfZSnhv7i9QoNRNpYFdKva80r5tVs/1UlmQiQswvTqPUTKaBXSk1bnpPXanYp/fYlVJKKRvRwK6UUkrZiAZ2pZRSykY0sCullFI2ooFdKaWUshEN7EoppZSNaGBXSimlbEQDu1JKKWUjGtiVUkopG9HArpRSStmIBnallFLKRjSwK6WUUjaigV0ppZSyEQ3sSimllI1oYFdKKaVsRIwx0a7DpIlIM3B0mn9tFtAyzb9zqmhbYo9d2gHallilbYlNE2lLiTEm+9RCWwT2aBCRLcaYymjXIxK0LbHHLu0AbUus0rbEpki0RYfilVJKKRvRwK6UUkrZiAb2c/d4tCsQQdqW2GOXdoC2JVZpW2LTpNui99iVUkopG9ErdqWUUspGNLBPgIg8IiJVIvKuiLwoIukj9t0vIgdFZJ+IXBHFao6LiNwkIrtFJCQilSPKS0UkKCLbrX8/jWY9x+NMbbH2xVW/jCQi3xKRuhF9cVW06zRRInKl9d4fFJFvRLs+kyEiR0Rkp9UXW6Jdn4kQkV+ISJOI7BpRliki60XkgPU1I5p1HK8ztCUuzxURKRKRV0Vkj/UZ9iWrfFJ9o4F9YtYDS4wxy4D9wP0AIrIIuAVYDFwJ/EREnFGr5fjsAj4BvH6afdXGmArr32enuV7n4rRtidN+OdWjI/rif6NdmYmw3uv/Aj4GLALWWn0Szz5s9UW8Ta16ivA5MNI3gI3GmHnARuv7ePAUY9sC8XmuDAFfNcYsAi4A7rHOkUn1jQb2CTDGvGyMGbK+3QwUWttrgOeNMf3GmMPAQWBVNOo4XsaYvcaYfdGuRyScpS1x1y82swo4aIw5ZIwZAJ4n3CdqmhljXgfaTileA/zS2v4l8PHprNO5OkNb4pIxpt4Y84613Q3sBQqYZN9oYD93dwMvWdsFQO2Ifcessng1W0S2ichrIvKhaFdmEuzQL1+wbv38Il6GSkeww/s/kgFeFpGtIvLpaFcmAnKNMfXWdgOQG83KREA8nyuISCmwAvgHk+ybhMhWLf6JyAYg7zS7HjDG/ME65gHCQyjPTmfdJmo8bTmNeqDYGNMqIiuB34vIYmNM15RVdBzOsS0x72ztAh4DHiIcUB4Cvkf4D0oVHRcbY+pEJAdYLyJV1tVj3DPGGBGJ5ylScX2uiIgP+C3wZWNMl4ic3HcufaOB/RTGmMvOtl9E7gKuAS41780VrAOKRhxWaJVF1fu15Qw/0w/0W9tbRaQaKAei+rDQubSFGO2XkcbbLhF5AvjTFFcn0mL+/Z8IY0yd9bVJRF4kfKshngN7o4jkG2PqRSQfaIp2hc6VMabxxHa8nSsi4iIc1J81xvzOKp5U3+hQ/ASIyJXA14DrjDG9I3atA24REY+IzAbmAW9Fo46TJSLZJx4wE5Eywm05FN1anbO47hfrhD7hesIPCcaTt4F5IjJbRNyEH2RcF+U6nRMR8YpIyolt4HLirz9OtQ6409q+E4jnka+4PFckfGn+c2CvMeb7I3ZNqm90gZoJEJGDgAdotYo2n3hq3Bqev5vwEP2XjTEvnf5VYoOIXA/8CMgGOoDtxpgrROQG4NvAIBACHjTG/DFqFR2HM7XF2hdX/TKSiDwNVBAeXjwCfGbEfbe4YE07+gHgBH5hjHk4ujU6N9YfuS9a3yYAz8VTW0Tk18BqwpnDGoEHgd8DLwDFhLNj3myMifmH0s7QltXE4bkiIhcDbwA7CX/eAvw74fvs59w3GtiVUkopG9GheKWUUspGNLArpZRSNqKBXSmllLIRDexKKaWUjWhgV0oppWxEA7tSalqcLQufUipyNLArpabL2TIKKqUiRAO7UjOciNxhJc/YISJPi0ipiLxilW0UkWLruKdE5DER2Swih0RktZVwY6+IPDXi9XpE5FHr6nyjiGSDvTIKKhXLNLArNYOJyGLgm8BHjDHLgS8RXsXvl8aYZYQTHf1wxI9kABcC9xJe9vJRwvnul4pIhXWMF9hijFkMvEZ4ZTCl1DTRwK7UzPYR4H+MMS0A1rKVFwLPWfufBi4ecfwfreRHO4FGY8xOY0wI2A2UWseEgN9Y28+c8vNKqSmmgV0pNRH91tfQiO0T358pW6SuW63UNNLArtTM9gpwk4j4AUQkE9hEOBMbwG2Ek1RMhAO40dq+Ffh7BOqplBonzceu1AxmjNktIg8Dr4nIMLAN+CLwpIjcBzQDn5zgywaAVSLyTcJ5pP8ZxmTh+7OInMzCp5SKHM3uppSKKBHpMcb4ol0PpWYqHYpXSimlbESv2JVSSikb0St2pZRSykY0sCullFI2ooFdKaWUshEN7EoppZSNaGBXSimlbEQDu1JKKWUj/w/NGGB0em5Y1gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "plt.figure(figsize=(8,8));\n",
    "sns.scatterplot(x='comp1', y='comp2', data=df_umap, hue='label');\n",
    "plt.legend(loc='upper left', frameon=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
